From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3

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It is imperative to assess SDG-related activities to discern the impact of such initiatives across various domains, including health and education. While current bibliometric analyses on SDGs predominantly encompass peer-reviewed articles, it is paramount to acknowledge that SDGs are universally pertinent and necessitate universal engagement. Consequently, there is a compelling need to broaden the bibliometric scope concerning SDGs, surpassing the realm of peer-reviewed papers. This research introduces a pioneering examination of SDG-associated academic undertakings, encompassing undergraduate, master’s, and doctoral research projects on an expansive scale. The evaluative framework stems from a decade’s culminating research endeavours published by Universitas Indonesia (UI). The emphasis of this study was directed towards Good Health and Well-being (SDG 3), given its intricate set of indicators. Furthermore, there remains a paucity of research probing the influence of libraries in the context of SDG 3 indicators within the Indonesian milieu. Through a bibliometric approach, we employed a descriptive analysis to scrutinize the publications’ breadth and evolution. Science mapping facilitated an exploration of inter-topic relationships and spotlighted prominent research themes. The diverse range of research predilections unearthed through our analysis underscores the significance of integrating student research projects into the bibliometric discourse on SDGs. This inquiry aims to heighten recognition of the extensive scholarly contributions by students and ideally will galvanize a younger demographic to immerse themselves in SDG-aligned research pursuits." } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://f1000research.com/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://f1000research.com/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://f1000research.com/articles/13-7/v1", "name": "From classroom to global goals: A bibliometric analysis of Universitas..." } } ] } Home Browse From classroom to global goals: A bibliometric analysis of Universitas... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article Garnita D, Rahmi R, Joho H and Kadir A. From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2024, 13 :7 ( https://doi.org/10.12688/f1000research.141858.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Research Article From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] Dita Garnita 1 , Rahmi Rahmi https://orcid.org/0000-0003-2352-2808 2 , Hideo Joho https://orcid.org/0000-0002-6611-652X 3 , Abdul Kadir 4 Dita Garnita 1 , Rahmi Rahmi https://orcid.org/0000-0003-2352-2808 2 , Hideo Joho https://orcid.org/0000-0002-6611-652X 3 , Abdul Kadir 4 PUBLISHED 03 Jan 2024 Author details Author details 1 Universitas Indonesia Library, Universitas Indonesia, Depok, West Java, Indonesia 2 Department of Library and Information Science, Faculty of Humanities, Universitas Indonesia, Depok, West Java, Indonesia 3 Faculty of Library, Information and Media Science, University of Tsukuba, Tsukuba, Ibaraki Prefecture, Japan 4 Occupational Health and Safety Department, Faculty of Public Health, Universitas Indonesia, Depok, West Java, Indonesia Dita Garnita Roles: Data Curation, Formal Analysis, Investigation, Methodology, Resources, Visualization, Writing – Original Draft Preparation Rahmi Rahmi Roles: Conceptualization, Investigation, Project Administration, Supervision, Writing – Review & Editing Hideo Joho Roles: Supervision, Writing – Review & Editing Abdul Kadir Roles: Methodology, Writing – Review & Editing OPEN PEER REVIEW DETAILS REVIEWER STATUS This article is included in the Japan Institutional Gateway gateway. Abstract The Sustainable Development Goals (SDGs) represent a vital contribution to both developed and developing nations. It is imperative to assess SDG-related activities to discern the impact of such initiatives across various domains, including health and education. While current bibliometric analyses on SDGs predominantly encompass peer-reviewed articles, it is paramount to acknowledge that SDGs are universally pertinent and necessitate universal engagement. Consequently, there is a compelling need to broaden the bibliometric scope concerning SDGs, surpassing the realm of peer-reviewed papers. This research introduces a pioneering examination of SDG-associated academic undertakings, encompassing undergraduate, master’s, and doctoral research projects on an expansive scale. The evaluative framework stems from a decade’s culminating research endeavours published by Universitas Indonesia (UI). The emphasis of this study was directed towards Good Health and Well-being (SDG 3), given its intricate set of indicators. Furthermore, there remains a paucity of research probing the influence of libraries in the context of SDG 3 indicators within the Indonesian milieu. Through a bibliometric approach, we employed a descriptive analysis to scrutinize the publications’ breadth and evolution. Science mapping facilitated an exploration of inter-topic relationships and spotlighted prominent research themes. The diverse range of research predilections unearthed through our analysis underscores the significance of integrating student research projects into the bibliometric discourse on SDGs. This inquiry aims to heighten recognition of the extensive scholarly contributions by students and ideally will galvanize a younger demographic to immerse themselves in SDG-aligned research pursuits. READ ALL READ LESS Keywords bibliometric analysis, final student project, good health and well-being, sustainable development goals Corresponding Author(s) Rahmi Rahmi ( [email protected] ) Close Corresponding author: Rahmi Rahmi Competing interests: No competing interests were disclosed. Grant information: This research greatly benefited from the funding provided by the Cluster Grant Scheme of the Faculty of Humanities, Universitas Indonesia, under the Assignment Letter Number ST-2837/UN2.F7.D/PPM.00/2021. The views, conclusions, and findings presented in this paper are solely those of the authors and do not represent the perspectives of the funding entity. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Copyright: © 2024 Garnita D et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Garnita D, Rahmi R, Joho H and Kadir A. From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2024, 13 :7 ( https://doi.org/10.12688/f1000research.141858.1 ) First published: 03 Jan 2024, 13 :7 ( https://doi.org/10.12688/f1000research.141858.1 ) Latest published: 03 Jan 2024, 13 :7 ( https://doi.org/10.12688/f1000research.141858.1 ) Background Bibliometric analysis applies mathematical and statistical methods to books, journals, and other publications ( Roemer & Borchardt, 2015 ). This type of analysis uses quantitative methods to measure, track, and analyse scientific literature ( Roemer & Borchardt, 2015 ). It allows us to identify developments in a given field, influential authors or researchers, and the most productive journals by subject ( Grace, Florence & Florence, 2019 ). Along with the development of a more active role for librarians in research activities and scientific communication, bibliometric analysis is increasingly being applied in various libraries worldwide. The results can contribute to the development of library collections ( Belter & Kaske, 2016 ). However, the focus of bibliometric activities in academic libraries has changed from collection development to research evaluation by researchers, research groups, departments, and universities ( Corrall et al. , 2013 ). Research evaluation through bibliometric analysis can use several indicators to measure development and trends in scientific activity by evaluating a scientific discipline, institution, journal, or other scientific entity ( Anninos, 2014 ). Herrera-Calderon et al. (2021) explained that the results of bibliometric research can be used to create new knowledge and assist in decision-making. Furthermore, Donthu et al. (2021) described two types of bibliometric analysis techniques: descriptive analysis and science mapping. In addition, network analysis can be utilized to enrich a bibliometric analysis. The descriptive analysis technique aims to determine the contributions that research publications make to specific fields; for example, measurements related to publications (number of publications, number of authors, or productivity per year), citations (number of and average citations), as well as related publications and citations (number of publications cited, h-index, and collaboration index). Meanwhile, science mapping aims to determine the relationships between publications, among others, by analysing citations (citation analysis, co-citation analysis, and bibliographic coupling), words (co-word analysis), and authors (co-authorship analysis). The application of bibliometric analysis in academic libraries has several benefits, including increasing librarians’ competence, expanding libraries’ role and involvement in decision-making in universities, and increasing the influence and reputation of libraries at universities. Case studies conducted in Sweden, Nigeria, Australia, New Zealand, Ireland, and the United Kingdom suggest that academic libraries offer bibliometric analysis services to provide useful information for evaluating the university’s research performance. Libraries are suitable for conducting this type of evaluation because they have a collection of repositories and publication databases that can act as data sources for analysing university publication outputs ( Åström & Hansson, 2013 ; Corrall et al. , 2013 ; Grace et al. , 2019 ). In libraries and higher education institutions in Indonesia, bibliometric analysis is applied to analyze the use of collections, investigate the development of research on specific topics, and help with the analysis of teaching curriculum needs in library science study programs ( Tupan, 2016 ; Aulia & Rusli, 2020 ; Amalia & Prasetyawan, 2021 ). Bibliometric analysis is also used to evaluate the suitability of the contributions of researchers’ publications to a particular vision and mission and the university’s leading research topics ( Maryatun & Handayani, 2022 ). In addition to evaluating individual researchers’ performances, bibliometric analysis can assess the university’s overall research performance. Research is a component considered in university accreditation and ranking in Indonesia ( Filiana et al. , 2020 ; Times Higher Education, 2022 ; UI GreenMetric WUR, 2022 ). Libraries’ role in supporting scientific research and communication also involves supporting the 2030 United Nations (UN) agenda. The UN agenda consists of 17 Sustainable Development Goals (SDGs), which provide an integrated framework for economic development and environmental and social factors ( Tbaishat, 2021 ). These goals are targets for countries worldwide to achieve by 2030. In higher education, the issue of sustainable development has been consistently considered necessary over the past decade. In addition to facilities and campus life, sustainable development must be integrated into education and research in universities ( Shiel et al. , 2020 ). Thus, access to information through libraries can increase the achievement of the SDGs ( Tbaishat, 2021 ). As a university library, the Universitas Indonesia (UI) Library has collections, services, and library staff that support the implementation of teaching, research, and community service. The UI library has printed and digital displays, including textbooks, reference books, scientific journals, proceedings, ancient manuscripts, and multimedia collections. The UI Library also has a collection of research from the UI academic community (the UIANA collection), including undergraduate theses, master’s theses, dissertations, final assignments, research reports, and inaugural speeches. To help users access the collection, the UI Library has a reference service (referral service) with several programs, including information literacy training, literature searches via links and emails, guidance on the use of reference sources, E-resources delivery services for UI professors, and document similarity checking ( Perpustakaan UI, 2022 ). UI academicians can also ask for help from a reference librarian in the health, social, and humanities or science and technology clusters to find the literature they need for their research. Scientific research results from the UI can contribute to the achievement of SDGs. Research results from the UI can also be used as a source of data for Voluntary National Review (VNR) activity, which measures SDG indicator achievements in relation to those 17 objectives. According to the Universitas Indonesia Research Portal , there are 4165 research outputs related to the health sciences cluster or SDG 3 (good health and well-being) – the most compared to other SDGs ( Perpustakaan UI, 2022 ). According to data from SciVal, in 2018–2021, 14.4% of the research conducted at the UI was in the fields of health and medicine (medicine, pharmacology, toxicology, and pharmaceuticals), indicating that this field is the leading research field at the UI ( SciVal.com, 2021 ). These data can help the UI earn a good SDG rating in university rankings, such as THE Impact Ranking and UI GreenMetric. Unfortunately, the scientific works listed on scholar. UI.ac.id do not include those created by UI students, such as undergraduate theses, master’s theses, and dissertations. Therefore, UI students’ research performance should be evaluated according to the SDGs, especially SDG 3. Several previous studies have used the bibliometric method to examine SDG 3, which relates to good health and well-being. For SDG 3, three major themes were identified: access to universal healthcare, maternal health, and global health. In addition to research on SDG 3, some studies consider specific indicators, including access to health services in rural areas through telemedicine and psychological well-being (suicide death rate) ( Da Costa et al. , 2020 ; Palozzi et al. , 2020 ). These three studies used data from the Scopus database. In Indonesia, several studies have also been conducted in relation to SDG 3; for example, access to health services, especially the mapping of hospitals’ online registration system, and infectious diseases such as tuberculosis and dengue haemorrhagic fever, have been investigated ( Dimisyqiyani et al. , 2020 ; Maula et al. , 2018 ; Sebba et al. , 2017 ). However, the number of publications remains lower than those of other ASEAN countries, such as Thailand, Singapore, Malaysia, and Vietnam. The three abovementioned studies used the Scopus and PubMed databases as data sources. In addition, this finding indicates that SDG 3 has an important role in the health system in various countries. Meanwhile, research on libraries’ role in relation to the SDGs, especially SDG 3 indicators, has not been widely performed in Indonesia. Previous research has tended to discuss library programs and librarians’ role in achieving the SDGs ( Fatmawati, 2018 ; Rufaidah & Iskak, 2019 ; Suprapto & Qosyim, 2022 ). This study shows that libraries could contribute to achieving SDGs, especially SDG 4 (quality education), by increasing literacy culture. Libraries could implement information literacy workshops, literacy guidance, technology training, information dissemination, and mobile library programs in villages. Librarians need to improve their professional and social competencies, including skills in information technology, media literacy, and information literacy. According to this perspective, research on SDG 3 (good health and well-being), especially studies using the bibliometric method, has been widely conducted. Unfortunately, most existing studies only examined journal articles found through Scopus . This study uses UI students’ final projects as a data source. Methods Research design This quantitative study has a non-experimental, or observational, cross-sectional design. This study used secondary data derived from the metadata of the UI Library collection, especially the undergraduate theses, master’s theses, and dissertations of students from the Faculty of Medicine (FK), Faculty of Dentistry (FKG), Faculty of Public Health (FKM), Faculty of Nursing (FIK), and Faculty of Pharmacy (FF) published from 2011–2020 ( Rahmi, 2023 ). The bibliometric analysis performed in this study adopted the analytical steps of Bradford’s Law regarding the distribution of scientific papers, namely (1) the number of published final assignments, (2) the viewing of sources by faculty, study program, and type of work to identify those that produce the most publications; and (3) the creation of groups based on the topics discussed. Research location and time The UI Library Automation and Digital Archive (LONTAR) automation system obtained secondary data in collection metadata. Data were downloaded in March 2022. The data analysis continued until May 2022. Population and sample The population used in this research consisted of UI Health Sciences students (Faculty of Medicine, Faculty of Dentistry, Faculty of Public Health, Faculty of Nursing, and Faculty of Pharmacy) who submitted final projects that were published in 2011–2020 and stored in the thesis and dissertation collection of the Universitas Indonesia Library published in 2011–2020 because their final projects are related to SDG 3, Good Health and Well-being. Moreover, the data included in the sample had to meet both inclusion and exclusion criteria. Inclusion criteria consist of the final project for the UI Library collection completed by a UI Health Sciences student (Faculty of Medicine, Faculty of Dentistry, Faculty of Public Health, Faculty of Nursing, and Faculty of Pharmacy); published in the years 2011–2020; and in the form of an undergraduate thesis, master’s thesis, or dissertation. The exclusion criteria are missing data (incomplete); duplication of data; or final work submitted for a specialist or professional program. In total, there were 13,603 final projects produced by UI Health Sciences students, 10,443 of which were published in the years 2011–2020; 5476 were undergraduate theses, master’s theses, or dissertations, and 2674 of these had missing data (incomplete), duplicated data, or were in the form of specialist and professional program final works. Data collection technique Secondary data were collected by downloading the metadata from the UI Library’s final project collection of undergraduate theses, master’s theses, and dissertations published in 2011–2020 by UI Health Sciences students through the UI library’s LONTAR automation system . The data included the authors’ names, counsellors’ names, titles (Indonesian and English), faculty, year of publication, type of work, abstract, study program, subject topic, and keywords. Researchers collected data by searching the back-office automation system LONTAR UI Library . The search strategy was: 1. A search in the LONTAR back office was carried out in the “Processing > Add Data” menu; 2. A keyword search was done in “264b Publisher Name”; 3. The keywords used were the names of the faculties with collections of final assignments related to SDG 3, including “Faculty of Medicine”, “Faculty of Dentistry”, “Faculty of Public Health”, “Faculty of Nursing”, and “Faculty of Pharmacy”; 4. The type of collection searched was the final project collection, including “UI—Undergraduate Thesis (Open)”, “UI—Undergraduate Thesis (Membership)”, “UI—Master Thesis (Open)”, “UI—Master Thesis (Membership)”, “UI—Dissertation (Open)”, “UI—Dissertation (Membership)”, and “Download”; and 5. After the search results appeared, the data were downloaded in Microsoft Excel (.xlsx) file using Excel version 365. Data processing Data processing consisted of data cleaning and data coding. Data cleaning was done by removing missing data (for example, work lacking a title, topic subject), eliminating duplicated data, and correcting writing errors (for example, the year “2104” was updated to “2014”). After the data cleaning process, 3059 final assignments remained, which were then put into categories (coded) according to the 13 targets of SDG 3. The categories used to code the data were: 1. Maternal Health; 2. Baby and Toddler Health; 3. Infectious Diseases; 4. Non-Communicable Diseases and Mental Health; 5. Drug and Alcohol Abuse; 6. Traffic Accidents; 7. Access to Reproductive Health Services; 8. Access to Universal Healthcare; 9. Hazardous Chemicals and Pollution; 10. Tobacco Control (Cigarettes); 11. Drug and Vaccine Development; 12. Health Personnel (HR); and 13. Health Risk Management. Two “raters” performed the data coding process to improve its reliability: an undergraduate Library Science student and an undergraduate Public Health student. The level of agreement between them serves as an indicator of the quality of the categorisation. Cohen’s Kappa was used to assess the level of agreement between the two raters. The following is an interpretation of the Kappa values ( Warrens, 2015 ). 0.00–0.20 = Low agreement 0.21–0.40 = Sufficient agreement 0.41–0.60 = Moderate agreement 0.61–0.80 = Substantive agreement 0.81–1.00 = Almost perfect agreement Cohen’s Kappa was measured using GNU PSPP version 1.5.3 software. The Kappa value deter-mined in the test was 0.52, so the raters showed a moderate level of agreement. Data analysis Data analysis was performed through descriptive analysis, science mapping, and multivariate analysis. The descriptive analysis was conducted to visualise the distribution of the variables studied, including the faculty, publication year, type of work, subject topic, and SDG 3 target. The descriptive analysis was performed using IBM SPSS Statistics Standard 28.0 software and Tableau Public version 2022.1.2. Science mapping was performed to visualise the co-occurrence network of the relationships between topic subjects in the selected work ( Ding et al. , 2014 ). VOSviewer software version 1.6.18 was used. Multivariate analysis was performed using a multinomial logistic regression with predictive models. Multinomial logistic regression was used because the dependent variable in this study (SDG 3) was categorical (13 categories). This type of analysis allows a model consisting of several independent variables that are considered the best to predict the occurrence of the dependent variable to be created ( Field, 2018 ). The multivariate analysis was performed using IBM SPSS Statistics Standard 28.0 software. Results Overview of research sites The Technical Implementation Unit (UPT) of the UI Library was established on 5th March, 1983, according to the Decree of the Minister of Education and Culture No. 0130/O/1983 regarding the Organization and Work Procedures of Universitas Indonesia Article 4 and Article 131-136, which explains the functions, duties, and organisation of the UI Library UPT. In 1987, the UI Library, formerly the UPT Central Library, moved to a new building on the UI Depok Campus. The Central Library then served to coordinate 12 faculty libraries ( Perpustakaan UI, 2018 ). In 2011, the UI Library moved into a new building dubbed “The Crystal of Knowledge”. This building was constructed according to one of the points of the UI’s strategic plan at the time: integration into the field of facilities. The process of integrating collections into the UI Library UPT started in March 2012. The Central Library, Faculty of Humanities Library, Faculty of Engineering Library, Faculty of Mathematics and Natural Sciences Library, Faculty of Nursing Library, and Faculty of Law Library followed. Several other faculties still retain separate libraries but have moved some of their collections to new buildings, namely, the Faculty of Computer Science Library, Faculty of Psychology Library, Faculty of Social and Political Sciences Library, Faculty of Public Health Library, and Faculty of Economic Library ( Perpustakaan UI, 2018 ). The UI library aims to collect, select, organise, and provide access to various information and knowledge resources for UI Citizens. Therefore, the UI Library collects and preserves library materials that are intellectual works. In addition, the UI Library follows developments in and adopts information and communication technology to improve its services. This is reflected in the vision of the UI Library for 2015–2019. Specifically, “In 2019, Universitas Indonesia Library will become a reference for national and regional university libraries sourced from the intellectual works of UI Citizens, and quality e-resources owned and supported by modern facilities owned by Universitas Indonesia.” The UI Library’s mission is ( Perpustakaan UI, 2015 ): (1) to provide quality access for UI residents and the public to information and knowledge resources, with excellent service based on information and communication technology; (2) to support the research conducted by UI Citizens by providing information and knowledge resources based on information and communication technology; (3) to provide community services for the utilisation of information and knowledge resources mainly via UIANA collections based on information and communication technology at the national and regional scales; and (4) to build entrepreneurship by offering empowering information resources and knowledge based on information technology. To help realise its vision, the UI Library has support services, collections, and facilities. UI Library Services are grouped into circulation services, reference services, and information technology services. Circulation services include membership activation, borrowing and returning printed books, and a free library certificate (SKBP). Reference services consist of information literacy training, literature searching, guidance on the use of reference sources, e-resource delivery services (EDS), document similarity checking, library utilisation studies, manuscript services, broadcast information, special collection services and journals, and research tools services. Finally, information technology services consist of website access and management services, access to e-resources, and LONTAR development ( Perpustakaan UI, 2022 ). In addition to these services, the UI Library has various collections to meet users’ information needs. At the end of 2021, the UI Library collections included 3,626,797 titles (3,761,309 total copies). The collections include e-resource collections (88.9%), UIANA collections (5.1%), textbooks (4.4%), printed magazines and journals (1.1%), reference books (0 4%), multimedia collections (0.1%), and ancient manuscripts and classic books (0.1%) ( Perpustakaan UI, 2022 ). As the data above show, after e-resources (e-books, proceedings, e-journals, online videos, and other electronic resources owned and subscribed to by UI), one of the largest collections in the UI Library is the UIANA collection. The UIANA collection is grey literature consisting of undergraduate theses, master’s theses, dissertations, non-seminar papers, research reports, proceedings, and other scientific works from the UI Academic Civitas ( Tyasmara & Susetyo-Salim, 2018 ). This collection can be accessed in both printed and digital forms. Total and publication progress Distribution of final project publications by year of publication The analysis results presented in Table 1 show the project distribution by publication year. Most of the UI students’ final project publications that were related to SDG 3, Good Health and Well-being, were published in 2019 (23.1%), 2020 (14.7%), and 2018 (13.1%). The number of publications from year to year tended to increase, as shown in Table 2 . The average growth rate of the number of publications per year, from 2011–2020, was 29%. Table 1. Distribution of final project publications by faculty, year of publication, and type of work. No Variable N % 1. Faculty Faculty of Medicine (FK) 716 26.8 Faculty of Dentistry (FKG) 112 4.2 Faculty of Public Health (FKM) 960 35.9 Faculty of Nursing (FIK) 513 19.2 Faculty of Pharmacy (FF) 373 13.9 2. Publication year 2011 104 3.9 2012 146 5.5 2013 95 3.6 2014 254 9.5 2015 246 9.2 2016 245 9.2 2017 223 8.3 2018 350 13.1 2019 618 23.1 2020 393 14.7 3. Type of work Dissertation 94 3.5 Master’s Thesis 1127 42.1 Undergraduate Thesis 1453 54.3 Total 2674 Table 2. Development of the number of final project publications per year by faculty and study program. Faculty and study program Number of final project publications related to SDG 3 % Growth 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Total Faculty of Medicine (FK) 28 9 20 96 118 73 43 99 133 97 716 26.78 57% Bachelor of Medical Education 28 9 14 77 61 22 15 27 58 68 379 14.17 59% Master of Biomedical Sciences 0 0 4 9 12 9 10 20 27 12 103 3.85 25% Master of Nutrition Science 0 0 0 4 4 0 1 6 14 4 33 1.23 51% Master of Occupational Medicine 0 0 1 3 7 4 7 11 9 3 45 1.68 38% Master of Medical Education 0 0 1 3 30 34 8 9 16 7 108 4.04 119% Doctor of Biomedical Sciences 0 0 0 0 3 1 1 11 3 3 22 0.82 96% Doctor of Nutrition Science 0 0 0 0 0 0 0 1 1 0 2 0.07 -11% Doctor of Medical Science 0 0 0 0 1 3 1 14 5 0 24 0.90 141% Faculty of Dentistry (FKG) 0 1 2 11 16 20 6 20 21 15 112 4.19 84% Bachelor of Dentist Education 0 1 2 7 13 15 6 15 15 11 85 3.18 57% Master of Basic Dentistry 0 0 0 3 3 5 0 3 4 3 21 0.79 -3% Master of Community Dentistry 0 0 0 0 0 0 0 0 0 1 1 0.04 0% Doctor of Dentistry 0 0 0 1 0 0 0 2 2 0 5 0.19 -22% Faculty of Public Health (FKM) 17 51 27 69 54 78 88 165 302 109 960 35.90 50% Bachelor of Nutrition 0 7 2 6 2 3 12 2 17 9 60 2.24 115% Bachelor of Environmental Health 0 0 0 4 0 0 1 4 22 7 38 1.42 65% Bachelor of Public Health 13 27 5 29 19 35 35 18 61 41 283 10.58 79% Bachelor of Occupational Safety and Health 2 0 0 6 3 9 0 0 22 11 53 1.98 -11% Master of Epidemiology 1 1 1 4 3 3 1 14 21 12 61 2.28 168% Master of Public Health Sciences 0 7 8 14 19 13 22 88 110 18 299 11.18 45% Master of Hospital Administration Studies 1 7 9 4 2 4 12 25 30 6 100 3.74 97% Master of Occupational Safety and Health 0 2 2 2 4 9 5 9 16 1 50 1.87 27% Doctor of Epidemiology 0 0 0 0 0 1 0 3 1 0 5 0.19 -30% Doctor of Public Health Sciences 0 0 0 0 2 1 0 2 2 4 11 0.41 -6% Faculty of Nursing (FIK) 18 74 36 37 26 45 47 40 82 108 513 19.18 48% Bachelor of Nursing Science 0 59 20 21 4 30 21 9 52 53 269 10.06 100% Master of Nursing Science 1 14 16 14 21 14 26 28 27 48 226 8.45 18% Doctor of Nursing Science 0 1 0 2 1 1 0 3 3 7 18 0.67 -13% Faculty of Pharmacy (FF) 41 11 10 41 32 29 39 26 80 64 373 13.95 43% Bachelor of Pharmacy 41 8 4 38 21 18 32 13 56 55 286 10.70 112% Master of Herbal Science 0 0 4 2 5 1 3 1 4 2 22 0.82 45% Master of Pharmaceutical Sciences 0 3 2 1 5 10 4 7 20 6 58 2.17 61% Doctor of Pharmacy 0 0 0 0 1 0 0 5 0 1 7 0.26 -22% Total 104 146 95 254 246 245 223 350 618 393 2674 29% Distribution of final project publications by faculty As the data analysis presented in Table 2 shows, most of the UI students’ final assignments related to SDG 3 came from the Faculty of Public Health (35.9%) and the Faculty of Medicine (26.8%). Final project publications from other faculties included the Faculty of Nursing (19.2%), the Faculty of Pharmacy (13.9%), and the Faculty of Dentistry (4.2%). In terms of the growth rate in the number of publications, the Faculty of Dentistry has had the highest average annual growth rate (84%), followed by the Faculty of Medicine (57%), the Faculty of Public Health (50%), the Faculty of Nursing (48%), and the Faculty of Pharmacy (43%). Distribution of final project publications by study program Based on the results of the data analysis presented in Table 2 most of the publications of the UI students’ final assignments related to SDG 3 came from students completing the Doctoral Education Bachelor Program (14.17%), Master of Public Health Sciences (11.18%), and Bachelor of Pharmacy (10, 7%). As Table 2 shows, the epidemiology master’s degree program has the highest average publication growth rate per year (168%), followed by the medical science doctoral degree (141%) and the medical education master’s degree (119%) programs. Distribution of final project publications by type of work The analysis results presented in Table 3 show the distribution by type of work. Most of UI students’ published final assignments related to SDG 3 were undergraduate theses (54%). Master’s theses accounted for 42% of the total, while dissertations accounted for as much as 4%. The number of publications almost always increased yearly for each type of work. Nevertheless, the highest average growth rate in the number of publications per year was in the dissertation collection—as much as 207%. Table 3. Development of the number of final project publications per year by type of work. Type of work Number of final project publications related to SDG 3 % Growth 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Total Dissertation 0 1 0 3 8 7 2 41 17 15 94 4 207% Master’s Thesis 20 34 48 63 115 106 99 221 298 123 1127 42 34% Undergraduate Thesis 84 111 47 188 123 132 122 88 303 255 1453 54 49% Total 104 146 95 254 246 245 223 350 618 393 2674 100 29% Development of publication topics by year The topics for UI student thesis publications were chosen by the librarian based on the Library of Congress subject heading. The results of the analysis presented in Figure 1 show that the most common subjects are industrial safety (appearing in 49 publications), breastfeeding (38 publications), industrial hygiene (27 publications), nursing care (25 publications), and tuberculosis (25 publications). In terms of development, the number of subjects studied most frequently changed from year to year. This is demonstrated in Figure 2 . In 2011, the most commonly studied subjects were Bacillus thuringiensis, diabetes mellitus, and Dengue haemorrhagic fever, while in 2020, the most frequently researched subjects were nursing care, health education, and reproductive health. Figure 1. The 30 most common topics in UI students’ final project publications related to good health and well-being. Figure 2. Development of the top 5 topic publication subjects by year. Priority of final project topics related to good health and well-being SDG 3, Good Health and Well-being, has 13 targets, which are shown in Table 4 . Of these 13 targets, most of the UI students’ final project publications had topics related to Target 4, Non-Communicable Diseases and Mental Health (18%), followed by Target 11, Drug and Vaccine Development (17.8%), and Target 13, Health Risk Management (13.2%). Meanwhile, topics related to Target 6 (Traffic Accidents), Target 5 (Abuse of Narcotics and Alcohol), Target 7 (Access to Reproductive Health Services), and Target 10 (Tobacco/Cigarette Control) appear less frequently in UI students’ final assignments. In addition, 14.2% of publications in the “Other” category are not directly related to SDG 3 targets, including topics related to forensics, diagnostics, nutrition, health promotion, and others. Table 4. Distribution of final project publications related to good health and well-being according to SDG 3 targets. No. SDG 3 targets N % 1. Maternal Health 124 4.6 2. Baby and Toddler Health 155 5.8 3. Infectious diseases 228 8.5 4. Non-Communicable Diseases and Mental Health 540 20.2 5. Drug and Alcohol Abuse 11 0.4 6. Traffic Accidents 5 0.2 7. Access to Reproductive Health Services 100 3.7 8. Universal Healthcare Access 221 8.3 9. Hazardous Chemicals and Pollution 75 2.8 10. Tobacco Control (Cigarettes) 17 0.6 11. Drug and Vaccine Development 473 17.7 12. Health Personnel (HR) 135 5.0 13. Health Risk Management 246 9.2 14. Other 344 12.9 Total 2674 100 In terms of the growth rate of publications, as Table 5 shows, Target 1 (Maternal Health) has undergone the greatest average annual growth (152%), followed by Target 2 (Infant and Toddler Health) and Target 8 (Universal Healthcare Access). The analysis results presented in Table 6 show which topics have been most frequently studied in each faculty and program. Target 4 (Non-Communicable Diseases and Mental Health) and Target 11 (Development of Drugs and Vaccines) are the most frequently studied topics in all faculties. Table 7 shows the distribution of final project publications related to SDG 3 based on the type of work. Table 5. Distribution of final project publications related to good health and well-being according to SDG 3 targets by year. Publication year SDG 3 Targets T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 2011 1 7 22 10 0 1 2 4 4 0 33 4 3 13 2012 16 12 17 32 0 1 12 4 2 3 8 13 11 15 2013 7 4 5 24 0 0 10 3 0 0 20 10 2 10 2014 10 15 33 51 1 1 10 8 6 1 43 9 26 40 2015 15 16 20 58 0 0 8 9 3 0 53 9 22 33 2016 18 6 22 42 3 0 5 17 6 0 42 8 42 34 2017 9 6 13 47 0 0 3 24 10 0 43 14 26 28 2018 13 15 24 60 2 0 17 53 6 4 56 21 34 45 2019 23 48 44 126 1 1 13 77 30 5 96 20 61 73 2020 12 26 28 90 4 20 22 8 4 79 27 19 53 Total 124 155 228 540 11 5 100 221 75 17 473 135 246 344 % 4.6 5.8 8.5 20.2 0.4 0.2 3.7 8.3 2.8 0.6 17.7 5.0 9.2 12.9 Growth 176% 61% 59% 46% 6% -22% 98% 42% 28% -22% 31% 37% 163% 38% Table 6. Distribution of final project publications related to good health and well-being according to SDG 3 by faculty and study programs. Faculties and study programs Number of final project publications Total T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 Faculty of Medicine 27 34 100 177 1 0 24 3 15 3 154 11 35 132 716 Bachelor of Medical Education 16 25 73 92 0 0 12 1 7 3 84 3 1 62 379 Master of Biomedical Sciences 0 1 9 20 0 0 6 0 0 0 42 0 2 23 103 Master of Nutrition Science 8 1 2 8 0 0 0 0 0 0 4 0 0 10 33 Master of Occupational Medicine 0 0 0 8 0 0 0 1 6 0 2 3 21 4 45 Master of Medical Education 3 6 11 37 1 0 3 0 2 0 9 4 11 21 108 Doctor of Biomedical Sciences 0 0 4 5 0 0 1 0 0 0 8 0 0 4 22 Doctor of Nutrition Science 0 0 0 1 0 0 0 0 0 0 0 0 0 1 2 Doctor of Medical Science 0 1 1 6 0 0 2 1 0 0 5 1 0 7 24 Faculty of Dentistry 2 2 1 6 0 0 0 0 1 0 30 3 1 66 112 Bachelor of Dentist Education 2 2 0 3 0 0 0 0 0 0 26 0 1 51 85 Master of Basic Dentistry 0 0 1 2 0 0 0 0 1 0 3 2 0 12 21 Master of Community Dentistry 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 Doctor of Dentistry 0 0 0 1 0 0 0 0 0 0 1 0 0 3 5 Faculty of Public Health 56 84 87 112 2 3 39 197 56 7 10 59 194 54 960 Bachelor of Nutrition 3 9 0 22 0 0 1 1 0 0 0 0 1 23 60 Bachelor of Environmental Health 0 2 8 5 0 0 0 0 14 0 0 0 8 1 38 Bachelor of Public Health 16 22 30 20 0 2 15 71 15 0 2 11 69 10 283 Bachelor of Occupational Safety and Health 1 0 0 2 0 0 0 0 1 0 0 0 48 1 53 Master of Epidemiology 5 9 18 23 0 0 1 0 1 2 0 0 0 2 61 Master of Public Health Sciences 30 40 28 32 1 0 19 68 23 3 4 20 17 14 299 Master of Hospital Administration Studies 1 0 1 4 0 0 0 55 0 2 4 27 6 0 100 Master of Occupational Safety and Health 0 0 0 1 0 1 0 0 2 0 0 1 44 1 50 Doctor of Epidemiology 0 1 1 1 1 0 0 0 0 0 0 0 0 1 5 Doctor of Public Health Sciences 0 1 1 2 0 0 3 2 0 0 0 0 1 1 11 Faculty of Nursing 39 33 35 203 8 2 36 12 0 7 1 61 16 60 513 Bachelor of Nursing Science 21 13 19 99 4 2 23 5 0 3 0 32 12 36 269 Master of Nursing Science 17 19 15 94 4 0 13 5 0 4 1 27 4 23 226 Doctor of Nursing Science 1 1 1 10 0 0 0 2 0 0 0 2 0 1 18 Faculty of Pharmacy 0 2 5 42 0 0 1 9 3 0 278 1 0 32 373 Bachelor of Pharmacy 0 2 3 31 0 0 1 8 3 0 213 1 0 24 286 Master of Herbal Science 0 0 0 2 0 0 0 0 0 0 19 0 0 1 22 Master of Pharmaceutical Sciences 0 0 2 9 0 0 0 1 0 0 39 0 0 7 58 Doctor of Pharmacy 0 0 0 0 0 0 0 0 0 0 7 0 0 0 7 Total 124 155 228 540 11 5 100 221 75 17 473 135 246 344 2,674 Table 7. Distribution of final project publications related to good health and well-being according to SDG 3 by type of work. Type of work Number of final project publications Total T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 Undergraduate Thesis 59 75 133 274 4 4 52 86 40 6 325 47 140 208 1,453 Master’s Thesis 64 76 87 240 6 1 42 130 35 11 127 85 105 118 1,127 Dissertation 1 4 8 26 1 0 6 5 0 0 21 3 1 18 94 Total 124 155 228 540 11 5 100 221 75 17 473 135 246 344 2,674 Publication topic cluster mapping Figure 3 shows the results of the word co-occurrence analysis of the topic subject (index keywords) and keywords (author keywords) of UI students’ final project publications related to SDG 3 that were published in 2011–2020. The analysis results led to the following 17 clusters: Cluster 1 – Health Services and Performance of Health Workers; Cluster 2 – Diabetes Prevention and Management; Cluster 3 – HIV/AIDS; Cluster 4 – Non-Communicable Diseases and Mental Health; Cluster 5 – Occupational Health and Safety; Cluster 6 – Dental Health and Mental Health; Cluster 7 – Maternal and Child Health; Cluster 8 – Youth Health; Cluster 9 – Child Development; Cluster 10 – Respiratory Tract Infections; Cluster 11 – Adolescent Reproductive Health; Cluster 12 – Infectious Diseases; Cluster 13 – Maternal Health; Cluster 14 – Health Promotion; Cluster 15 – Drug Abuse; Food Hygiene and Sanitation; Cluster 16 – Cancer; and Cluster 17 – Risk Management. Figure 3. Mapping of UI students’ final project publication clusters related to good health and well-being based on word co-occurrence analysis of subject topics and keywords. Each cluster associated with SDG 3 targets has links to the following targets: Cluster 1: Target 8, Target 12 Cluster 2: Target 4, Target 11 Cluster 3: Target 3, Target 7 Cluster 4: Target 4, Target 11 Cluster 5: Target 13 Cluster 6: Target 4, Target 11, Target 14 Cluster 7: Target 1, Target 2 Cluster 8: Target 7, Target 11, Target 14 Cluster 9: Target 2, Target 14 Cluster 10: Target 3, Target 9 Cluster 11: Target 7 Cluster 12: Target 3, Target 11 Cluster 13: Target 1, Target 11 Cluster 14: Target 10, Target 14 Cluster 15: Target 5; Target 14 Cluster 16: Target 4, Target 11 Cluster 17: Target 13 Relationships between faculties, years of publication, and types of work with UI students’ final project publication topics related to good health and well-being The results of the statistical test that are presented in Table 8 show p-values below the significance level (α) of 0.05, which means that there are significant relationships between the faculty, publication year, and type of work and the topic of UI students’ final project publications in the field of good health and well-being. The coefficient of determination (R2) value of 0.562 indicates that the above factors can explain 56.2% of the variation in the dependent variable, the topic of UI students’ final project publications related to good health and well-being. Other factors can explain the rest of the variation. Table 8. Relationships between faculty, publication year, and type of work and UI students’ final project publication topics related to good health and well-being. No. Variable p- Value R 2 1. Faculty 0.000 0.562 2. Publication year 0.001 3. Type of work 0.001 A multinomial logistic regression analysis was used to find the variables with the most influence on UI students’ final project publications related to SDG 3. Table 9 presents the regression analysis results, where “Other Topics” was used to compare the relationships between the 13 topics related to SDG 3 and the year of publication, faculty, and work variables. Meanwhile, the Faculty of Pharmacy (FF) and dissertation were used as the comparison groups for the faculty and type of work variables. Table 9. Multinomial logistics regression analysis results. No. Variable Regression coefficient p- value OR Confidence interval 95% OR B SE B Lower Upper 1 Maternal health vs. Other topics Intercept 192.493 998.327 0.847 Publication year -0.105 0.041 0.010 * 0.900 0.831 0.976 Faculty = FK vs. FF 15.717 994.904 0.987 6.695 0.000 . Faculty = FKG vs. FF 13.908 994.904 0.989 1.097 0.000 . Faculty = FKM vs. FF 17.331 994.904 0.986 33.645 0.000 . Faculty = FIK vs. FF 16.813 994.904 0.987 20.039 0.000 . Type of Work = Undergraduate Thesis vs. Dissertation 1.437 1.048 0.170 4.209 0.540 32.836 Type of Work = Master Thesis vs. Dissertation 1.823 1.048 0.082 6.190 0.794 48.272 2 Baby and toddler health vs. Other topics Intercept 28.552 79.806 0.721 Publication year -0.016 0.040 0.690 0.984 0.911 1.064 Faculty = FK vs. FF 1.401 0.756 0.064 4.058 0.923 17.849 Faculty = FKG vs. FF -0.698 1.024 0.495 0.498 0.067 3.701 Faculty = FKM vs. FF 3.170 0.753 <0.001 * 23.800 5.442 104.100 Faculty = FIK vs. FF 2.147 0.762 0.005 * 8.559 1.924 38.080 Type of work = Undergraduate Thesis vs. Dissertation 0.409 0.587 0.486 1.506 0.477 4.758 Type of work = Master Thesis vs. Dissertation 0.637 0.589 0.279 1.891 0.597 5.992 3 Infectious diseases vs. Other topics Intercept 226.769 68.738 <0.001 * Publication year -0.114 0.034 <0.001 * 0.893 0.835 0.954 Faculty = FK vs. FF 1.686 0.502 <0.001 * 5.398 2.018 14.436 Faculty = FKG vs. FF -2.201 1.118 0.049 * 0.111 0.012 0.990 Faculty = FKM vs. FF 2.504 0.516 <0.001 * 12.234 4.446 33.665 Faculty = FIK vs. FF 1.376 0.528 0.009 * 3.960 1.406 11.151 Type of work = Undergraduate Thesis vs. Dissertation 0.305 0.455 0.503 1.357 0.556 3.313 Type of work = Master Thesis vs. Dissertation 0.217 0.461 0.638 1.242 0.503 3.066 4 Non−communicable diseases and mental health vs. Other topics Intercept -36.825 56.590 0.515 Publication year 0.018 0.028 0.512 1.019 0.964 1.076 Faculty = FK vs. FF -0.038 0.264 0.887 0.963 0.574 1.617 Faculty = FKG vs. FF -2.680 0.487 <0.001 * 0.069 0.026 0.178 Faculty = FKM vs. FF 0.365 0.292 0.211 1.441 0.813 2.552 Faculty = FIK vs. FF 0.896 0.279 0.001 * 2.449 1.419 4.227 Type of work = Undergraduate Thesis vs. Dissertation -0.058 0.338 0.865 0.944 0.486 1.833 Type of work = Master Thesis vs. Dissertation 0.195 0.342 0.568 1.216 0.621 2.379 5 Drug and alcohol abuse vs. Other topics Intercept -349.977 3.000.874 0.907 Publication year 0.164 0.133 0.216 1.178 0.908 1.529 Faculty = FK vs. FF 14.418 2.988.887 0.996 1.827 0.000 . Faculty = FKG vs. FF -3.155 0.000 . 0.043 0.043 0.043 Faculty = FKM vs. FF 15.913 2.988.887 0.996 8.149 0.000 . Faculty = FIK vs. FF 17.336 2.988.886 0.995 33.803 0.000 . Type of work = Undergraduate Thesis vs. Dissertation -0.985 1.172 0.401 0.374 0.038 3.716 Type of work = Master Thesis vs. Dissertation -0.252 1.138 0.824 0.777 0.083 7.229 6 Traffic accidents vs. Other topics Intercept 380.875 4.682.585 0.935 Publication year -0.206 0.159 0.196 0.814 0.596 1.112 Faculty = FK vs. FF 2.183 4.105.539 1.000 8.872 0.000 . Faculty = FKG vs. FF -2.851 0.000 . 0.058 0.058 0.058 Faculty = FKM vs. FF 17.796 4.020.256 0.996 53.530 0.000 . Faculty = FIK vs. FF 17.005 4.020.256 0.997 24.280 0.000 . Type of work = Undergraduate Thesis vs. Dissertation 13.879 2.379.336 0.995 1.065 0.000 . Type of work = Master Thesis vs. Dissertation 12.790 2.379.337 0.996 358.715 0.000 . 7 Access to reproductive health services vs. Other topics Intercept 144.970 88.578 0.102 Publication year -0.073 0.044 0.094 0.929 0.853 1.013 Faculty = FK vs. FF 1.764 1.042 0.090 5.837 0.758 44.967 Faculty = FKG vs. FF -17.017 3.553.734 0.996 0.000 0.000 . Faculty = FKM vs. FF 3.199 1.041 0.002 * 24.502 3.187 188.399 Faculty = FIK vs. FF 2.952 1.039 0.004 * 19.145 2.501 146.581 Type of work = Undergraduate Thesis vs. Dissertation -0.418 0.519 0.420 0.658 0.238 1.821 Type of work = Master Thesis vs. Dissertation -0.336 0.524 0.522 0.715 0.256 1.997 8 Universal healthcare access vs. Other topics Intercept -175.354 83.102 0.035 * Publication year 0.086 0.041 0.036 * 1.090 1.006 1.182 Faculty = FK vs. FF -2.633 0.698 <0.001 * 0.072 0.018 0.282 Faculty = FKG vs. FF -18.522 2.397.058 0.994 0.000 0.000 . Faculty = FKM vs. FF 2.347 0.413 <0.001 * 10.458 4.655 23.492 Faculty = FIK vs. FF -0.447 0.495 0.366 0.639 0.242 1.686 Type of work = Undergraduate Thesis vs. Dissertation 0.109 0.589 0.854 1.115 0.351 3.538 Type of work = Master Thesis vs. Dissertation 0.577 0.587 0.326 1.780 0.563 5.629 9 Hazardous chemicals and pollution vs. Other topics Intercept -98.171 718.251 0.891 Publication year 0.040 0.056 0.466 1.041 0.934 1.161 Faculty = FK vs. FF 0.245 0.665 0.713 1.278 0.347 4.706 Faculty = FKG vs. FF -1.822 1.175 0.121 0.162 0.016 1.619 Faculty = FKM vs. FF 2.381 0.640 <0.001 * 10.816 3.087 37.889 Faculty = FIK vs. FF -13.442 353.082 0.970 0.000 0.000 . Type of work = Undergraduate Thesis vs. Dissertation 14.293 709.469 0.984 1.612 0.000 . Type of work = Master Thesis vs. Dissertation 14.275 709.469 0.984 1.583 0.000 . 10 Tobacco control (Cigarettes) vs. Other topics Intercept -203.923 3.098.682 0.948 Publication year 0.084 0.104 0.418 1.088 0.887 1.335 Faculty = FK vs. FF 15.279 2.633.956 0.995 4.320 0.000 . Faculty = FKG vs. FF -3.028 8.727.684 1.000 0.048 0.000 . Faculty = FKM vs. FF 16.853 2.633.956 0.995 20.862 0.000 . Faculty = FIK vs. FF 16.910 2.633.956 0.995 22.068 0.000 . Type of work = Undergraduate Thesis vs. Dissertation 14.172 1.618.562 0.993 1.428 0.000 . Type of work = Master Thesis vs. Dissertation 15.003 1.618.562 0.993 3.279 0.000 . 11 Drug and vaccine development vs. Other topics Intercept -72.054 63.359 0.255 Publication year 0.037 0.031 0.241 1.038 0.976 1.103 Faculty = FK vs. FF -2.028 0.226 <0.001 * 0.132 0.085 0.205 Faculty = FKG vs. FF -2.980 0.290 <0.001 * 0.051 0.029 0.090 Faculty = FKM vs. FF -3.883 0.396 <0.001 * 0.021 0.009 0.045 Faculty = FIK vs. FF -6.268 1.026 <0.001 * 0.002 0.000 0.014 Type of work = Undergraduate Thesis vs. Dissertation -0.091 0.363 0.801 0.913 0.448 1.859 Type of work = Master Thesis vs. Dissertation -0.104 0.372 0.780 0.901 0.435 1.868 12 Health Personnel (HR) vs. Other topics Intercept 75.981 81.866 0.353 Publication year -0.040 0.041 0.329 0.961 0.888 1.041 Faculty = FK vs. FF 0.826 1.065 0.438 2.285 0.283 18.422 Faculty = FKG vs. FF 0.426 1.176 0.717 1.531 0.153 15.350 Faculty = FKM vs. FF 3.329 1.036 0.001 * 27.906 3.661 212.693 Faculty = FIK vs. FF 3.320 1.033 0.001 * 27.658 3.650 209.566 Type of work = Undergraduate Thesis vs. Dissertation 0.084 0.667 0.900 1.088 0.294 4.022 Type of work = Master Thesis vs. Dissertation 0.976 0.661 0.140 2.653 0.726 9.701 13 Health risk management vs. oOher topics Intercept 64.043 718.361 0.929 Publication year -0.041 0.036 0.252 0.960 0.894 1.030 Faculty = FK vs. FF 15.394 714.697 0.983 4.847 0.000 . Faculty = FKG vs. FF 12.482 714.698 0.986 263.631 0.000 . Faculty = FKM vs. FF 17.996 714.697 0.980 65.400 0.000 . Faculty = FIK vs. FF 15.355 714.697 0.983 4.660 0.000 . Type of Work = Undergraduate Thesis vs. Dissertation 2.292 1.053 0.030 * 9.892 1.256 77.892 Type of Work = Master Thesis vs. Dissertation 2.115 1.055 0.045 * 8.293 1.049 65.558 Table 9 presents the regression coefficient (B) and odds ratio (OR) values. These analysis results reveal which topics are more common in a particular faculty compared to other faculties: The greater the B and OR values in a group, the greater the frequency of topic discussion compared to other groups. For example, the group with the largest B and OR scores for maternal health is the Faculty of Public Health (FKM), suggesting that maternal health is most frequently studied by FKM students. The same was found for infant and toddler health, infectious diseases, traffic accidents, access to reproductive health services, hazardous chemicals and pollution, health personnel (HR), and health risk management. Meanwhile, the Faculty of Pharmacy (FF) excels in the topic of drug and vaccine development, compared with other faculties. Faculty of Nursing (FIK) students have mostly researched non-communicable diseases and mental health, narcotics and alcohol abuse, and tobacco control (cigarettes) compared with other faculties. The complete results are presented in Table 9 . In terms of publication year, the analysis results presented in Table 9 show whether a topic tends to be studied more or less frequently throughout the year. A positive B value for publication year indicates a directly proportional relationship between the frequency of discussion and the year. Conversely, a negative B value indicates that the frequency of discussion is inversely proportional to the year. This information affirms that non-communicable diseases and mental health, narcotics and alcohol abuse, access to universal health services, hazardous chemicals and pollution, tobacco control (cigarettes), and drug and vaccine development tend to be researched more frequently as the year progresses, while the remaining topics (maternal health, infant and toddler health, infectious diseases, traffic accidents, access to reproductive health services, health personnel, and health risk management) tend to be less and less researched. In terms of the type of work, several topics are studied more by doctoral students (S-3) than undergraduate (S-1) or master’s (S-2) students, including narcotics and alcohol abuse, access to health services, reproduction, and the development of drugs and vaccines, maternal health, infant and toddler health, non-communicable diseases and mental health, access to universal health services, tobacco control (cigarettes), and health personnel (HR) were most commonly studied by master’s students. For undergraduate students, the most frequently studied topics included infectious diseases, traffic accidents, hazardous chemicals and pollution, and health risk management. Prediction model for UI students’ final project publication topics related to good health and well-being The prediction model for UI students’ final project publications related to good health and well-being involved the analysis of the relationship between the subject of publication and the SDG 3 target discussed in the publication. This analysis was conducted using a simple linear regression method to determine the relationships between two or more variables and was intended to predict the value of the dependent variable (SDG 3 target) via the independent variable (publication subject). The dependent variable in a linear regression must be numerical, so the SDG 3 targets were assigned numbers 1–14. As the statistical test results presented in Table 10 show, the p-value was smaller than the significance level (α) of 0.05, which indicates a significant relationship between the publication subject and UI students’ final project publication topics related to good health and well-being. Furthermore, the correlation value (R) of 0.977 indicates a strong, positive relationship, and the coefficient of determination (R 2 ) of 0.954 indicates that the subject can explain 95.4% of the variation in the dependent variable, namely the Topic of Publication of UI Students’ Final Projects Related to Good Health and Well-being. Table 10. Relationship between publication subjects and UI students’ final project publication topics related to good health and well-being. Variable R R 2 p- Value Subject 0.977 0.954 <0.001 The regression equation model cannot be displayed in Table 10 because 2261 topic subjects were used as independent variables. The model was applied as a topic predictor, as shown in Figure 2 . These predictors allow librarians to enter the subject of publication to find the SDG 3 target that is associated with the topic. For example, Figure 4 shows that a final project with the subject “abortion” was coded “1” for the SDG 3 target “maternal health”. Figure 4. Predictors of UI students’ final project publication topics related to good health and well-being by subject. Discussion Research limitations This study used secondary data from the UI Library collection, acquired through the LONTAR system. During data processing, information bias can occur, especially during the categorisation process based on the 13 SDG 3 targets. Meanwhile, of the 5476 documents that met the inclusion criteria, 2802 (51%) had missing or duplicated data or were in the form of final works of specialist and professional programs. The number of missing data points may have caused selection bias in this study. Total and publication progress In total, the final project publications (undergraduate theses, master’s theses, and dissertations) of UI students from 2011–2020 and related to good health and well-being accounted for 2674 titles or 1.8% of all undergraduate theses, master theses, and dissertations in the UI Library. Of the five faculties that belong to the health sciences cluster, the Faculty of Public Health (FKM), the Faculty of Medicine (FK), and the Faculty of Nursing (FIK) have published the most. This may be because the number of students in these three faculties (9% of the total UI students) exceeds the number of students in the Faculty of Dentistry (FKG) and the Faculty of Pharmacy (FF) (only 3% of the total UI students). In addition, the FK, FKM, and FIK have more study programs than the FKG and FF. The publication year data shows that the number of publications significantly increased in 2019, to almost double that of the previous year, with the average growth rate per year reaching 29% (see Figure 5 ). This shows that research interest in good health and well-being as an SDG did not gain much traction until 2019. A similar, significant upward trend was reported in the Punnakitikashem and Hallinger (2019) study on sustainable health management, which showed that the number of publications almost doubled in 2013 compared to the previous year. These trends suggest that research on good health and well-being could be researched more and more frequently in the years to come. Figure 5. Number of Publications by Year of Publication. However, the number of final project publications produced in 2020 was less than that in 2019. This is due to librarians’ decreased productivity in processing the final project collection during the implementation of the work-from-home (WFH) system during the COVID-19 pandemic. One of the reasons for this decline in productivity was inadequate equipment and internet network access. This increased the number of final assignments by UI students published in 2020 that have not been processed. To overcome this and given the control of COVID-19 cases, the UI Library implemented a full work-from-office (WFO) system in 2022. In addition, the UI Library plans to recruit student staff (Wiradha) to assist with the processing of final project publications. Most of the publications were theses. Meanwhile, dissertations only accounted for 3.5% (94 titles) of all publications. Dissertations were only included from about 52.6% of the estimated number of doctoral program graduates from the health sciences cluster in 2011–2020. Therefore, the UI Library needs to increase the acceptance of scientific works from doctoral programs. The UI library could work with the UI Directorate of Education (Dirpen) to form regulations that require students of all levels to upload their final assignments to the UI Library and disseminate this policy to all faculties at UI. Total subject progress per year The analysis results show that the 30 topics studied were dominated by those related to access to universal health services (nursing care, public health, national health insurance, hospital administration, medical care, and health insurance), non-communicable diseases (diabetes mellitus, obesity, blood pressure, and fatigue), infectious diseases (tuberculosis, malaria, and Escherichia coli), maternal and child health (breastfeeding, child development, anaemia, and nutrition), and health risk management (industrial safety, industrial hygiene, and occupational health and safety). Access to universal health care was in the top five most-discussed topics every year from 2017 to 2020. This aligns with the findings that Ghanbari et al. (2021) reported that researchers’ interest in studying universal health service access has increased continuously from 2009 to 2019. In addition, Sweileh (2020) shows that universal health service access was the most frequently studied SDG 3 target from 2015–2019. Therefore, continuing to increase interest in researching this topic, especially in developing countries, will be useful to understand the challenges and obstacles inhibiting the achievement of universal health service access and the improvement of global health overall ( Ghanbari et al. , 2021 ). Priority topic Regarding SDG 3 targets, UI students most often studied Target 4, Non-Communicable Diseases and Mental Health. This aligns with the results of basic health research showing that the prevalence of non-communicable diseases, such as diabetes mellitus (1.5%) and heart disease (1.5%), in Indonesia is higher than the incidence of infectious diseases, such as pulmonary tuberculosis (0.42%) and hepatitis (0.39%). As far as mental health issue was concerned, the prevalence of severe mental health disorder was cited at 1.7% of Indonesian community ( Hartini et al. , 2018 ). Meanwhile, topics that have not been widely researched include Target 6 (Traffic Accidents), Target 5 (Abuse of Narcotics and Alcohol), and Target 10 (Tobacco Control). This also conforms to Sweileh’s results (2020) showing that these topics, especially drug and alcohol abuse, were not studied much compared with other topics according to the listings in the Scopus database from 2015–2019. The stigma against narcotics users can make researching the topic challenging. Narcotics abuse can increase the risk of other health problems, such as HIV/AIDS and hepatitis ( Sweileh, 2020 ). Librarians must be competent in educating users about alternative research and sampling methods for hard-to-reach communities. In addition, librarians need insight into appropriate secondary data sources for research related to SDG 3. Publication topic cluster mapping The word co-occurrence analysis using the VosViewer software identified the five words with the most links to other topics: “knowledge”, “teenager”, “hypertension”, “industrial safety”, and “attitude” (see Figure 6 ). Figure 6. Relationships between “Knowledge”, “Attitude”, “Hypertension”, “Industrial Safety”, and “Teenager” and other topics. The words “knowledge” and “attitude” indicate that publications related to SDG 3 mostly focus on promotive and preventative efforts. It has been proved that promotive efforts can support the enabling factor to increase self-determination and control among people regarding their health while prevention efforts focus on avoiding the increase of risk factors towards disease, therefore for early detection can be done in reducing the incident and damage related to people’s health ( Helfer et al. , 2020 ). Furthermore, the words associated with “knowledge” and “attitude” indicate that pregnant and lactating women, children, and adolescents are the most frequently studied populations. The health problems studied in the adolescent population have been quite diverse but are dominated by non-communicable diseases and mental health. The number of studies on non-communicable diseases is also indicated by the term “hypertension”, which is one of the words that is most frequently related to other topics. Hypertension is a risk factor for various non-communicable diseases, including diabetes mellitus. In addition to these topics, industrial safety is also widely studied. This topic is also related to health risk management and occupational safety and health. Its presence in this analysis indicates that, in addition to the populations of pregnant women, breastfeeding women, children, and adolescents, UI students study industry and the workplace broadly. Factors related to the topic of publication Publication year The results of the multivariate analysis show a significant relationship between the year of publication and the topic chosen. Non-communicable diseases and mental health, drug and alcohol abuse, access to universal health services, hazardous chemicals and pollution, tobacco control (cigarettes), and drug and vaccine development have tended to be researched more frequently over the years, while the remaining topics (maternal health, infant and toddler health, infectious diseases, traffic accidents, access to reproductive health services, health personnel, and health risk management) have tended to be researched progressively less. Librarians can consider this information when selecting collection procurement activities. Collections related to topics that tend to be researched more frequently each year can be prioritised, adopting one of the benefits of bibliometrics: assistance with decision-making in developing collections ( Grace et al. , 2019 ). Faculty The results of the multivariate analysis showed a significant relationship between faculty and publication topic. Among topics related to SDG 3, FKM students generated more publications on related topics than other faculties, except for drug and vaccine development, which was mainly covered by FF students, and non-communicable diseases and mental health, abuse of narcotics and alcohol, and tobacco control (cigarettes), which were mainly covered by FIK students. These topics were also researched by FK and FKG students. However, students in those faculties also studied topics that were not directly related to SDG 3, such as anatomy, physiology, forensics, and dental and bone health. Type of work The results of the multivariate analysis showed a significant relationship between the type of work and the topic chosen. Several topics were identified as being studied more frequently by postgraduate students (S-2 and S-3) than undergraduate students (S-1), including narcotics and alcohol abuse, access to reproductive health services, the development of drugs and vaccines, maternal health, infant and toddler health, non-communicable diseases and mental health, access to universal health services, tobacco control (cigarettes), and health personnel (HR). Other topics (infectious diseases, traffic accidents, hazardous chemicals and pollution, and health risk management) have been mainly studied by undergraduate students. One of the UI Library’s services to which the results of this analysis can be applied is the Lecturer and Postgraduate Special Reading Room Service. In this service, one librarian can consult with a user on their literature search. In addition, librarians can use the results of this analysis to provide information to meet users’ needs, especially those in postgraduate programs. Subject The results of the multivariate analysis show a significant relationship between the subject and the topic chosen. In addition, using the linear regression analysis that examined the relationship between the subject and the topic of publication, a linear regression model could be made to predict the topic of publication based on the subject. This offers another of the benefits of bibliometrics, namely that, according to Zipf’s Law, the analysis of the occurrence of words in documents can contribute to identifying index makers ( Latief, 2014 ). The US National Library of Medicine (NLM) has implemented word occurrence analysis to aid in indexing. The NLM uses an algorithm with a text ranking approach to implement automatic medical subject heading (MeSH) indexing. Conclusions The development of the publication of UI students’ final assignments for 2011–2020 related to good health and well-being as a Sustainable Development Goal shows that SDG 3 has attracted significant research interest since 2019. Naturally, non-communicable diseases and mental health have been the most frequently studied topics. However, over time, other topics have begun to interest UI students, particularly access to universal health services. The publication cluster mapping shows that UI student research related to SDG 3 has mostly focused on the promotive and preventative aspects of health problems. The most frequently studied subjects have been pregnant and breastfeeding women, children, adolescents, and industry or workplaces. However, many topics related to SDG 3 have not yet been widely studied by UI students, including traffic accidents, the abuse of narcotics and alcohol, and tobacco control. Therefore, by utilising data from the bibliometric analysis of the main research themes in each faculty, libraries can formulate collection promotion strategies related to SDG 3 topics and identify the collection topics to prioritise. The creation of a publication topic prediction model can also inspire librarians to develop a system that supports automatic subject indexing. Based on these results, the researcher offers the following suggestions. First, UI libraries need to coordinate with related units at the UI (the Directorate of Education and the Directorate of Information Systems and Technology) to create systems and policies that require students at all levels to upload their final assignment publications to the UI Library, especially students in doctoral programs and from faculties whose collection rate remains low. Second, UI Library collection metadata can be studied via bibliometric analysis to support collection development activities and library reference services. Therefore, librarians’ subject indexing activities must be accurate. After the subject indexing process, validation must also be performed to ensure data accuracy. Data availability Zenodo: bibliometricdata_sdgs3. https://doi.org/10.5281/zenodo.10336832 ( Rahmi, 2023 ). The project contains the following underlying data: - bibliometricdata_sdgs3.xlsx Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Acknowledgements The authors are grateful to two student assistants from the Faculty of Public Health Sciences and the Faculty of Humanities for their significant contributions to the data labelling process. Due to confidentiality agreements, their names cannot be explicitly mentioned. 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Reference Source Perpustakaan UI: Laporan Kinerja UPT Perpustakaan UI Triwulan I Tahun 2022 [UI Library UPT Performance Report for Quarter I of 2022]. Universitas Indonesia; 2022. Punnakitikashem P, Hallinger P: Bibliometric review of the knowledge base on healthcare management for sustainability, 1994–2018. Sustainability. 2019; 12 : 205. Publisher Full Text Rahmi R: bibliometricdata_sdgs3. [Data set]. Zenodo. 2023. Publisher Full Text Roemer RC, Borchardt R: Meaningful metrics: A 21st-century librarian’s guide to bibliometrics, altmetrics, and research impact. Association of College and Research Libraries; 2015. Reference Source Rufaidah VW, Iskak PI: Peran pusat perpustakaan dan penyebaran teknologi pertanian (pustaka) kementan dalam tujuan pembangunan berkelanjutan [The role of the central library and dissemination of agricultural technology (library) of the Ministry of Agriculture in the goal of sustainable development]. 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PubMed Abstract | Publisher Full Text | Free Full Text Tbaishat D: Jordanian public libraries in relation to achieving SDGs: Shoman Library in action. Public Library Quarterly. 2021; 40 : 125–143. Publisher Full Text Times Higher Education: THE impact rankings methodology 2022 version 1.3. THE World Universities; 2022. Reference Source Tupan T: Peta perkembangan penelitian pemanfaatan repositori institusi menuju Open Access: Studi bibliometrik dengan VOSViewer [Map of the development of institutional repository utilization research towards open access: A bibliometric study with VOSViewer]. Khizanah Al-Hikmah: Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan. 2016; 4 : 104–117. Publisher Full Text Tyasmara NC, Susetyo-Salim TA: Access policy of UIANA Collection in the Library Universitas Indonesia. Adv. Sci. Lett. 2018; 24 : 5012–5014. Publisher Full Text UI GreenMetric WUR: Guideline UI GreenMetric world university rankings 2022: Collective actions for transforming sustainable universities in the post-pandemic time. Universitas Indonesia; 2022. Reference Source Warrens MJ: Five ways to look at Cohen’s kappa. Journal of Psychology & Psychotherapy. 2015; 05 (1). Publisher Full Text Comments on this article Comments (0) Version 1 VERSION 1 PUBLISHED 03 Jan 2024 ADD YOUR COMMENT Comment Author details Author details 1 Universitas Indonesia Library, Universitas Indonesia, Depok, West Java, Indonesia 2 Department of Library and Information Science, Faculty of Humanities, Universitas Indonesia, Depok, West Java, Indonesia 3 Faculty of Library, Information and Media Science, University of Tsukuba, Tsukuba, Ibaraki Prefecture, Japan 4 Occupational Health and Safety Department, Faculty of Public Health, Universitas Indonesia, Depok, West Java, Indonesia Dita Garnita Roles: Data Curation, Formal Analysis, Investigation, Methodology, Resources, Visualization, Writing – Original Draft Preparation Rahmi Rahmi Roles: Conceptualization, Investigation, Project Administration, Supervision, Writing – Review & Editing Hideo Joho Roles: Supervision, Writing – Review & Editing Abdul Kadir Roles: Methodology, Writing – Review & Editing Competing interests No competing interests were disclosed. Grant information This research greatly benefited from the funding provided by the Cluster Grant Scheme of the Faculty of Humanities, Universitas Indonesia, under the Assignment Letter Number ST-2837/UN2.F7.D/PPM.00/2021. The views, conclusions, and findings presented in this paper are solely those of the authors and do not represent the perspectives of the funding entity. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Article Versions (1) version 1 Published: 03 Jan 2024, 13:7 https://doi.org/10.12688/f1000research.141858.1 Copyright © 2024 Garnita D et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics Views Downloads F1000Research - - PubMed Central info_outline Data from PMC are received and updated monthly. - - Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article Garnita D, Rahmi R, Joho H and Kadir A. From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2024, 13 :7 ( https://doi.org/10.12688/f1000research.141858.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Version 1 VERSION 1 PUBLISHED 03 Jan 2024 Views 0 Cite How to cite this report: Dai J. Reviewer Report For: From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2024, 13 :7 ( https://doi.org/10.5256/f1000research.155342.r349720 ) The direct URL for this report is: https://f1000research.com/articles/13-7/v1#referee-response-349720 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 27 Dec 2024 Jian Dai , Zhejiang University of Technology, Hangzhou, China Approved VIEWS 0 https://doi.org/10.5256/f1000research.155342.r349720 This paper performs a bibliometric analysis of Universitas Indonesia's student projects addressing SDG 3. The study is valuable, but there are still some issues that need improvement. 1. The Background section needs to be reorganized. The authors should ... Continue reading READ ALL This paper performs a bibliometric analysis of Universitas Indonesia's student projects addressing SDG 3. The study is valuable, but there are still some issues that need improvement. 1. The Background section needs to be reorganized. The authors should first indicate the research background and motivation, rather than introducing the bibliometric analysis methods first. 2. The Kappa value is 0.52, so how do you deal with those inconsistent coding results? This process needs to be detailed. 3. The limitations of this study need to be discussed. I hope the authors find my suggestions helpful. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes References 1. Jing Y, Wang C, Chen Y, Wang H, et al.: Bibliometric mapping techniques in educational technology research: A systematic literature review. Education and Information Technologies . 2024; 29 (8): 9283-9311 Publisher Full Text Competing Interests: No competing interests were disclosed. Reviewer Expertise: educational technology I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Dai J. Reviewer Report For: From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2024, 13 :7 ( https://doi.org/10.5256/f1000research.155342.r349720 ) The direct URL for this report is: https://f1000research.com/articles/13-7/v1#referee-response-349720 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Vílchez-Román C. Reviewer Report For: From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2024, 13 :7 ( https://doi.org/10.5256/f1000research.155342.r262171 ) The direct URL for this report is: https://f1000research.com/articles/13-7/v1#referee-response-262171 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 12 Jun 2024 Carlos Vílchez-Román , Carlos Vílchez-Román, Centro de Altos Estudios Nacionales (CAEN), Lima, Peru Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.155342.r262171 Your Report Please provide a full report, expanding on your answers to the questions above. In particular, if you answered “no” or “partly” to any of the questions, please give constructive and specific details as to how ... Continue reading READ ALL Your Report Please provide a full report, expanding on your answers to the questions above. In particular, if you answered “no” or “partly” to any of the questions, please give constructive and specific details as to how the authors can address any criticisms. Please indicate clearly which points must be addressed to make the article scientifically sound. ( 50 words min. ) The study examines the relationship between Universitas Indonesia (UI)'s undergraduate and postgraduate students' academic output and the 13 sustainable development goal (SDG)3 targets: good health and well-being. The authors provide a detailed description of the results using univariate and multivariate statistics. However, three primary issues require a significant revision: breadth of literature review, alignment between research question and design, and results discussion confronting Indonesian health indicators. Breadth of literature review The authors conducted an extensive literature review of bibliometric studies that explored the relationship between research output and SDG. Therefore, the revision of the Introduction could be enriched if the authors examined three state-of-the-art papers that also discuss the alignment between academic output and development agendas [1-3]. [1] Yegros-Yegros, A. et al. (2020). Exploring why global health need are unmet by research efforts: the potential influences of geography, industry and publication incentives. [2] Ciarli, T., Ed. (2022). Changing directions: Steering science, technology and innovation towards the SDGs. [3] Kumar, A. et al. (2024). Priorities of health research in India: evidence of misalignment between research outputs and disease burden. Alignment between research question and design/analytical strategy The authors conducted a detailed descriptive analysis, but it needs to be clarified which research question is guiding this study. In other words, it is unknown which is the knowledge gap they identified and tried to provide an answer. It is important to remember that the research problem, usually (but not necessarily) expressed as a question, precedes the research objective. Once the authors elaborate on the research question, they should explain why they selected the multinomial regression analysis to explore the relationships among the selected variables. Results discussion confronting Indonesian health indicators. According to the abstract, "This research introduces a pioneering examination of SDG-associated academic undertakings, encompassing undergraduate, master's, and doctoral research projects on an expansive scale". That explains the initial approach to the results discussion. However, the analyses focused on SDG 3, so it is pretty surprising that they did not discuss the results considering the most severe diseases in Indonesia. In this sense, the authors should emphasize the discussion of their results confronting Indonesia's health indicators for the primary causes of death [4]: cardiovascular disease (35%), cancer (12%), chronic respiratory disease (6, and diabetes (6%). Ref [4] Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes References 1. Yegros-Yegros A, van de Klippe W, Abad-Garcia MF, Rafols I: Exploring why global health needs are unmet by research efforts: the potential influences of geography, industry and publication incentives. Health Res Policy Syst . 2020; 18 (1): 47 PubMed Abstract | Publisher Full Text 2. Changing Directions: Steering science, technology and innovation towards the Sustainable Development Goals. 2022. Publisher Full Text 3. Kumar A, Koley M, Yegros A, Rafols I: Priorities of health research in India: evidence of misalignment between research outputs and disease burden. Scientometrics . 2024; 129 (4): 2433-2450 Publisher Full Text 4. Arifin H, Chou K, Ibrahim K, Fitri S, et al.: Analysis of Modifiable, Non-Modifiable, and Physiological Risk Factors of Non-Communicable Diseases in Indonesia: Evidence from the 2018 Indonesian Basic Health Research [Corrigendum]. Journal of Multidisciplinary Healthcare . 2022; Volume 15 : 2419-2420 Publisher Full Text Competing Interests: No competing interests were disclosed. Reviewer Expertise: Bibliometric and scientometric studies. I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Vílchez-Román C. Reviewer Report For: From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2024, 13 :7 ( https://doi.org/10.5256/f1000research.155342.r262171 ) The direct URL for this report is: https://f1000research.com/articles/13-7/v1#referee-response-262171 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Comments on this article Comments (0) Version 1 VERSION 1 PUBLISHED 03 Jan 2024 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Reviewer Reports Invited Reviewers 1 2 Version 1 03 Jan 24 read read Carlos Vílchez-Román , Centro de Altos Estudios Nacionales (CAEN), Lima, Peru Jian Dai , Zhejiang University of Technology, Hangzhou, China Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert Browse by related subjects keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Dai J. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 27 Dec 2024 | for Version 1 Jian Dai , Zhejiang University of Technology, Hangzhou, China 0 Views copyright © 2024 Dai J. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions This paper performs a bibliometric analysis of Universitas Indonesia's student projects addressing SDG 3. The study is valuable, but there are still some issues that need improvement. 1. The Background section needs to be reorganized. The authors should first indicate the research background and motivation, rather than introducing the bibliometric analysis methods first. 2. The Kappa value is 0.52, so how do you deal with those inconsistent coding results? This process needs to be detailed. 3. The limitations of this study need to be discussed. I hope the authors find my suggestions helpful. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes References 1. Jing Y, Wang C, Chen Y, Wang H, et al.: Bibliometric mapping techniques in educational technology research: A systematic literature review. Education and Information Technologies . 2024; 29 (8): 9283-9311 Publisher Full Text Competing Interests No competing interests were disclosed. Reviewer Expertise educational technology I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Dai J. Peer Review Report For: From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2024, 13 :7 ( https://doi.org/10.5256/f1000research.155342.r349720) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/13-7/v1#referee-response-349720 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Vílchez-Román C. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 12 Jun 2024 | for Version 1 Carlos Vílchez-Román , Carlos Vílchez-Román, Centro de Altos Estudios Nacionales (CAEN), Lima, Peru 0 Views copyright © 2024 Vílchez-Román C. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Your Report Please provide a full report, expanding on your answers to the questions above. In particular, if you answered “no” or “partly” to any of the questions, please give constructive and specific details as to how the authors can address any criticisms. Please indicate clearly which points must be addressed to make the article scientifically sound. ( 50 words min. ) The study examines the relationship between Universitas Indonesia (UI)'s undergraduate and postgraduate students' academic output and the 13 sustainable development goal (SDG)3 targets: good health and well-being. The authors provide a detailed description of the results using univariate and multivariate statistics. However, three primary issues require a significant revision: breadth of literature review, alignment between research question and design, and results discussion confronting Indonesian health indicators. Breadth of literature review The authors conducted an extensive literature review of bibliometric studies that explored the relationship between research output and SDG. Therefore, the revision of the Introduction could be enriched if the authors examined three state-of-the-art papers that also discuss the alignment between academic output and development agendas [1-3]. [1] Yegros-Yegros, A. et al. (2020). Exploring why global health need are unmet by research efforts: the potential influences of geography, industry and publication incentives. [2] Ciarli, T., Ed. (2022). Changing directions: Steering science, technology and innovation towards the SDGs. [3] Kumar, A. et al. (2024). Priorities of health research in India: evidence of misalignment between research outputs and disease burden. Alignment between research question and design/analytical strategy The authors conducted a detailed descriptive analysis, but it needs to be clarified which research question is guiding this study. In other words, it is unknown which is the knowledge gap they identified and tried to provide an answer. It is important to remember that the research problem, usually (but not necessarily) expressed as a question, precedes the research objective. Once the authors elaborate on the research question, they should explain why they selected the multinomial regression analysis to explore the relationships among the selected variables. Results discussion confronting Indonesian health indicators. According to the abstract, "This research introduces a pioneering examination of SDG-associated academic undertakings, encompassing undergraduate, master's, and doctoral research projects on an expansive scale". That explains the initial approach to the results discussion. However, the analyses focused on SDG 3, so it is pretty surprising that they did not discuss the results considering the most severe diseases in Indonesia. In this sense, the authors should emphasize the discussion of their results confronting Indonesia's health indicators for the primary causes of death [4]: cardiovascular disease (35%), cancer (12%), chronic respiratory disease (6, and diabetes (6%). Ref [4] Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes References 1. Yegros-Yegros A, van de Klippe W, Abad-Garcia MF, Rafols I: Exploring why global health needs are unmet by research efforts: the potential influences of geography, industry and publication incentives. Health Res Policy Syst . 2020; 18 (1): 47 PubMed Abstract | Publisher Full Text 2. Changing Directions: Steering science, technology and innovation towards the Sustainable Development Goals. 2022. Publisher Full Text 3. Kumar A, Koley M, Yegros A, Rafols I: Priorities of health research in India: evidence of misalignment between research outputs and disease burden. Scientometrics . 2024; 129 (4): 2433-2450 Publisher Full Text 4. Arifin H, Chou K, Ibrahim K, Fitri S, et al.: Analysis of Modifiable, Non-Modifiable, and Physiological Risk Factors of Non-Communicable Diseases in Indonesia: Evidence from the 2018 Indonesian Basic Health Research [Corrigendum]. Journal of Multidisciplinary Healthcare . 2022; Volume 15 : 2419-2420 Publisher Full Text Competing Interests No competing interests were disclosed. Reviewer Expertise Bibliometric and scientometric studies. I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (0) Vílchez-Román C. Peer Review Report For: From classroom to global goals: A bibliometric analysis of Universitas Indonesia’s student projects addressing Sustainable Development Goals (SDG) 3 [version 1; peer review: 1 approved, 1 approved with reservations] . F1000Research 2024, 13 :7 ( https://doi.org/10.5256/f1000research.155342.r262171) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/13-7/v1#referee-response-262171 Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions Adjust parameters to alter display View on desktop for interactive features Includes Interactive Elements View on desktop for interactive features Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. 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