Mapping Research to the Sustainable Development Goals: A Contextualised Approach

Mapping Research to the Sustainable Development Goals: A Contextualised Approach | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Mapping Research to the Sustainable Development Goals: A Contextualised Approach Weiwei Wang, Weihao Kang, Jingwen Mu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2544385/v3 This work is licensed under a CC BY 4.0 License Status: Posted Version 3 posted You are reading this latest preprint version Show more versions Abstract The United Nations’ 2030 Agenda for Sustainable Development provides a shared blueprint for peace and prosperity for people and the planet using 17 interlinked global goals commonly known as the Sustainable Development Goals (SDGs). Mapping research publications in concordance with the SDGs is important in understanding research activities and intensities in supporting each of the SDGs at global, country, institutional, and individual levels. Such mapping is challenging as what research outcomes and innovations belong to a specific SDG category is subject to interpretation and can be highly complex and contextual. Several SDG mapping approaches have been proposed and tested by organisations and researchers, but tend not to produce consistent mapping results. In this study, an enhanced method to conductSDG research mapping, Auckland Approach, is proposed based on the pioneering SDG mapping work conducted by Elsevier, Sustainable Development Solutions Network (SDSN), and United Nations (UN). The Auckland Approach uses text-mining techniques and n-gram analyses to extract global and local SDG keywords from publication metadata (i.e. title, keywords, and abstracts). The keywords are sorted according to the number of publications that contain the terms, and the keywords’ term frequency–inverse document frequency (tf-idf) values, respectively. After result validation, the top-ranked terms (i.e., top 200) are manually reviewed to retain keywords that are meaningful and relevant. The selected keywords are combined with those adopted by Elsevier, SDSN, and UN SDG Indicators to form our final SDG keyword lists, and the corresponding bibliometric queries are compiled. The enhanced Auckland Approach captures a significant number of unique research publications that are SDG-related and contextually relevant. Our approach promotes SDG mapping that is data-driven, transparent, comprehensive, and contextualised. The Auckland Approach also provides an example of forming local SDG narratives and themes from a generic, global approach to make a research mapping more relevant to its local communities and research priorities. SDG Sustainable Development Goals SDG mapping sustainability mapping bibliometrics text-mining Figures Figure 1 Figure 2 Full Text Additional Declarations Competing interests: The authors declare no competing interests. Supplementary Files UoASDGKeywordListVer.1.1.xlsx UoA-SDG-Keyword-List-Ver.-1.1 querysdsnUNv2.xlsx query_sdsn+UN-v2 uoasdgqueriesv2.0.xlsx uoa_sdg_queries_v_2.0 MappingresearchtotheSustainableDevelopmentGoalsSDGssustainability20230228sup.pdf Supplementary Cite Share Download PDF Status: Posted Version 3 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2544385","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":177533497,"identity":"4f716f86-1574-46c4-807e-da96353aa67a","order_by":0,"name":"Weiwei Wang","email":"","orcid":"","institution":"the University of Auckland","correspondingAuthor":false,"prefix":"","firstName":"Weiwei","middleName":"","lastName":"Wang","suffix":""},{"id":177533498,"identity":"b0ad041c-7695-499d-8a5f-12cad69907e1","order_by":1,"name":"Weihao Kang","email":"","orcid":"","institution":"the University of 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