Systematic Survey of Public Datasets for Behavioral Research in Invertebrate Models: Toward FAIR and Standardized Data Sharing | 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 Systematic Survey of Public Datasets for Behavioral Research in Invertebrate Models: Toward FAIR and Standardized Data Sharing Natalia Piórkowska, Róża Mazurek, Damian Adamek, Martyna Łopianiak, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8382997/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Behavioral datasets for invertebrate model organisms are rapidly expanding alongside automated imaging, tracking, and artificial intelligence AI-based phenotyping, yet their technical structure and compliance with the Findable, Accessible, Interoperable and Reusable (FAIR) principles remain heterogeneous. We present a two-stage survey of openly available behavioural datasets for major invertebrate models Caenorhabditis elegans (C. elegans) , Drosophila melanogaster (D. melanogaster) , Galleria mellonella ( G. mellonella ), and planarians Schmidtea mediterranea ( S. mediterranea ) with larval zebrafish ( Danio rerio) included as a vertebrate comparator. Stage 1 comprised a PRISMA-guided literature review (from 2015 to 2025) across indexed databases and complementary non-indexed sources, yielding 12 eligible publications describing 12 open behavioural datasets. Stage 2 independently screened and technically evaluated repository deposits (from June 2022 to July 2025), producing a final corpus of 20 datasets scored on a four-dimension ordinal rubric capturing usability, annotation richness, technical quality and AI-readiness. All extracted descriptors, repository search logs, and scoring sheets are released as public data records enabling full regeneration of figures and summary statistics. Across Stage 2 deposits, multimodality and open file formats were common, whereas interoperability and AI-readiness were most constrained by limited machine-readable metadata, weak raw-to-derived provenance, and sparse adoption of formal standards or ontologies. This Data Descriptor provides a reproducible, dataset-centred overview of behavioural resources for invertebrate models and practical guidance for FAIR-aligned publication, secondary biological analyses, and AI benchmarking. invertebrate models behavioral datasets FAIR metadata standardization AI benchmarking PRISMA repository survey Full Text Additional Declarations The authors declare no competing interests. Supplementary Files SupplementaryTableS6.Stage2repositorysearchstrategykeywordfamiliesandthematicqueryblocks.2.pdf Supplementary Table S6. Stage 2 repository search strategy_ keyword families and thematic query blocks. SupplementaryTableS3.FAIRdisseminationandcomplianceRQ3RQ4.1.pdf Supplementary Table S3. FAIR dissemination and compliance (RQ3–RQ4). SupplementaryTableS11.SourceresolvedPRISMA2020flowsummaryforStage1..pdf Supplementary Table S11. Source-resolved PRISMA 2020 flow summary for Stage 1. SupplementaryTableS10.DataextractiontemplateandcodingschemefordatasetevaluationRQ1RQ4.pdf Supplementary Table S10. Data extraction template and coding scheme for dataset evaluation (RQ1–RQ4) SupplementaryTableS9.Stage2ordinalscoresandinterrateragreementperdataset.1.pdf Supplementary Table S9. Stage 2 ordinal scores and inter-rater agreement per dataset. SupplementaryTableS8.Definitionsandordinalscoringthresholds13forStage2technicalqualitydimensions.1.pdf Supplementary Table S8. Definitions and ordinal scoring thresholds (1–3) for Stage 2 technical quality dimensions. SupplementaryTableS7.Stage2repositorysearchlog1.pdf Supplementary Table S7. Stage 2 repository search log SupplementaryTableS6.Stage2repositorysearchstrategykeywordfamiliesandthematicqueryblocks.1.pdf Supplementary Table S6. Stage 2 repository search strategy_ keyword families and thematic query blocks. SupplementaryTableS5b.DecisionthresholdsforoverallrecordqualityriskofreportingaccessibilitybiasStage1.1.pdf Supplementary Table S5b. Decision thresholds for overall record quality _ risk of reporting-accessibility bias (Stage 1). SupplementaryTableS5a.RecordlevelscoringrubricforreportingaccessibilitybiasStage1.Pointsrubric02acrossthreedimensions.1.pdf Supplementary Table S5a. Record-level scoring rubric for reporting_accessibility bias (Stage 1). Points rubric (0–2) across three dimensions. SupplementaryTableS4.StandardsandontologiesadoptionRQ5.1.pdf Supplementary Table S4. Standards and ontologies adoption (RQ5). SupplementaryTableS2.DatasettechnicalcharacteristicsRQ1RQ3.1.pdf Supplementary Table S2. Dataset technical characteristics (RQ1–RQ3). SupplementaryTableS1.Fulldatabasespecificsearchqueriesfiltersrundatesandretrievedcounts.2.pdf Supplementary Table S1. Full database-specific search queries, filters, run dates, and retrieved counts. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8382997","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":561624323,"identity":"4dff2b24-6e7c-4299-9339-7f3a977ea9ae","order_by":0,"name":"Natalia 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17:08:40","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":50563,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S6. Stage 2 repository search strategy_ keyword families and thematic query blocks.\u0026nbsp;\u003c/p\u003e","description":"","filename":"SupplementaryTableS6.Stage2repositorysearchstrategykeywordfamiliesandthematicqueryblocks.2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/0d5a3afefeabb0bfdcd1a9b8.pdf"},{"id":98501479,"identity":"490f2061-c102-4ec1-80ca-cf3034c87903","added_by":"auto","created_at":"2025-12-18 09:43:00","extension":"pdf","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":71569,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S3. FAIR dissemination and compliance (RQ3–RQ4).\u0026nbsp;\u003c/p\u003e","description":"","filename":"SupplementaryTableS3.FAIRdisseminationandcomplianceRQ3RQ4.1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/fe3e93ea4b9393659720da2c.pdf"},{"id":98624953,"identity":"9f63dbd3-3afa-4556-9d31-4de07d6ceadd","added_by":"auto","created_at":"2025-12-19 17:08:51","extension":"pdf","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":52148,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S11. Source-resolved PRISMA 2020 flow summary for Stage 1.\u003c/p\u003e","description":"","filename":"SupplementaryTableS11.SourceresolvedPRISMA2020flowsummaryforStage1..pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/c522383c012c09e2e18d4b8d.pdf"},{"id":98623863,"identity":"b5a68ab6-f95c-4d8f-a5eb-53e817c3bf00","added_by":"auto","created_at":"2025-12-19 17:07:42","extension":"pdf","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":62279,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S10. Data extraction template and coding scheme for dataset evaluation (RQ1–RQ4)\u003c/p\u003e","description":"","filename":"SupplementaryTableS10.DataextractiontemplateandcodingschemefordatasetevaluationRQ1RQ4.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/e70c776f5ca5a9ddf78d87d2.pdf"},{"id":98623679,"identity":"4c6e6fd0-dc74-43d1-b096-a91c2d163fa6","added_by":"auto","created_at":"2025-12-19 17:07:16","extension":"pdf","order_by":5,"title":"","display":"","copyAsset":false,"role":"supplement","size":61893,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S9. Stage 2 ordinal scores and inter-rater agreement per dataset.\u0026nbsp;\u003c/p\u003e","description":"","filename":"SupplementaryTableS9.Stage2ordinalscoresandinterrateragreementperdataset.1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/76857c541d3d373d926e645b.pdf"},{"id":98501494,"identity":"7eec5e9f-78b2-443e-9b96-f6e4dc4dc787","added_by":"auto","created_at":"2025-12-18 09:43:01","extension":"pdf","order_by":6,"title":"","display":"","copyAsset":false,"role":"supplement","size":51413,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S8. Definitions and ordinal scoring thresholds (1–3) for Stage 2 technical quality dimensions.\u0026nbsp;\u003c/p\u003e","description":"","filename":"SupplementaryTableS8.Definitionsandordinalscoringthresholds13forStage2technicalqualitydimensions.1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/c54f82ba9ae04e7fed954d23.pdf"},{"id":98624802,"identity":"5c40cb25-251c-45f4-b631-0a449db14ad2","added_by":"auto","created_at":"2025-12-19 17:08:43","extension":"pdf","order_by":7,"title":"","display":"","copyAsset":false,"role":"supplement","size":53478,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S7. Stage 2 repository search log\u003c/p\u003e","description":"","filename":"SupplementaryTableS7.Stage2repositorysearchlog1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/03cda44848224c44f32740a4.pdf"},{"id":98624175,"identity":"69712d5f-3aba-4591-940b-60c8cfa65d39","added_by":"auto","created_at":"2025-12-19 17:08:07","extension":"pdf","order_by":8,"title":"","display":"","copyAsset":false,"role":"supplement","size":50563,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S6. Stage 2 repository search strategy_ keyword families and thematic query blocks.\u0026nbsp;\u003c/p\u003e","description":"","filename":"SupplementaryTableS6.Stage2repositorysearchstrategykeywordfamiliesandthematicqueryblocks.1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/a8a25b2d294a3bde6d437ef8.pdf"},{"id":98501489,"identity":"8e5ff00f-ff89-47da-ad58-68f79d00c246","added_by":"auto","created_at":"2025-12-18 09:43:01","extension":"pdf","order_by":9,"title":"","display":"","copyAsset":false,"role":"supplement","size":46730,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S5b. Decision thresholds for overall record quality _ risk of reporting-accessibility bias (Stage 1).\u0026nbsp;\u003c/p\u003e","description":"","filename":"SupplementaryTableS5b.DecisionthresholdsforoverallrecordqualityriskofreportingaccessibilitybiasStage1.1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/cc2f5839ea3adbde663fd43b.pdf"},{"id":98625310,"identity":"6c3332ac-cc7b-4b88-b1e5-8823f0297b3b","added_by":"auto","created_at":"2025-12-19 17:09:02","extension":"pdf","order_by":10,"title":"","display":"","copyAsset":false,"role":"supplement","size":50315,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S5a. Record-level scoring rubric for reporting_accessibility bias (Stage 1). Points rubric (0–2) across three dimensions.\u0026nbsp;\u003c/p\u003e","description":"","filename":"SupplementaryTableS5a.RecordlevelscoringrubricforreportingaccessibilitybiasStage1.Pointsrubric02acrossthreedimensions.1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/34733d04a79f8219e563b219.pdf"},{"id":98501498,"identity":"5899320c-a194-48fa-9ee9-a1f118a4d34d","added_by":"auto","created_at":"2025-12-18 09:43:01","extension":"pdf","order_by":11,"title":"","display":"","copyAsset":false,"role":"supplement","size":57358,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S4. Standards and ontologies adoption (RQ5).\u003c/p\u003e","description":"","filename":"SupplementaryTableS4.StandardsandontologiesadoptionRQ5.1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/eaa0556c8ba733378981447d.pdf"},{"id":98501504,"identity":"79e11ecc-dc5a-412e-a666-dbf4d48d652c","added_by":"auto","created_at":"2025-12-18 09:43:01","extension":"pdf","order_by":12,"title":"","display":"","copyAsset":false,"role":"supplement","size":77589,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S2. Dataset technical characteristics (RQ1–RQ3).\u0026nbsp;\u003c/p\u003e","description":"","filename":"SupplementaryTableS2.DatasettechnicalcharacteristicsRQ1RQ3.1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/5fef61c2dfbf1d75e75b86f0.pdf"},{"id":98501497,"identity":"fcfbf1b6-c52e-45a2-ae33-7d1049c177be","added_by":"auto","created_at":"2025-12-18 09:43:01","extension":"pdf","order_by":13,"title":"","display":"","copyAsset":false,"role":"supplement","size":60715,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Table S1. Full database-specific search queries, filters, run dates, and retrieved counts.\u0026nbsp;\u003c/p\u003e","description":"","filename":"SupplementaryTableS1.Fulldatabasespecificsearchqueriesfiltersrundatesandretrievedcounts.2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8382997/v1/8b34a30c65d944efcbd744bc.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eSystematic Survey of Public Datasets for Behavioral Research in Invertebrate Models: Toward FAIR and Standardized Data Sharing\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Wrocław University of Science and Technology","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"invertebrate models, behavioral datasets, FAIR, metadata, standardization, AI benchmarking, PRISMA, repository survey","lastPublishedDoi":"10.21203/rs.3.rs-8382997/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8382997/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBehavioral datasets for invertebrate model organisms are rapidly expanding alongside automated imaging, tracking, and artificial intelligence AI-based phenotyping, yet their technical structure and compliance with the Findable, Accessible, Interoperable and Reusable (FAIR) principles remain heterogeneous. We present a two-stage survey of openly available behavioural datasets for major invertebrate models \u003cem\u003eCaenorhabditis elegans (C. elegans)\u003c/em\u003e, \u003cem\u003eDrosophila melanogaster (D. melanogaster)\u003c/em\u003e, \u003cem\u003eGalleria mellonella\u003c/em\u003e (\u003cem\u003eG. mellonella\u003c/em\u003e), and planarians \u003cem\u003eSchmidtea mediterranea\u003c/em\u003e (\u003cem\u003eS. mediterranea\u003c/em\u003e) with larval zebrafish (\u003cem\u003eDanio rerio)\u003c/em\u003e included as a vertebrate comparator. Stage 1 comprised a PRISMA-guided literature review (from 2015 to 2025) across indexed databases and complementary non-indexed sources, yielding 12 eligible publications describing 12 open behavioural datasets. Stage 2 independently screened and technically evaluated repository deposits (from June 2022 to July 2025), producing a final corpus of 20 datasets scored on a four-dimension ordinal rubric capturing usability, annotation richness, technical quality and AI-readiness. All extracted descriptors, repository search logs, and scoring sheets are released as public data records enabling full regeneration of figures and summary statistics. Across Stage 2 deposits, multimodality and open file formats were common, whereas interoperability and AI-readiness were most constrained by limited machine-readable metadata, weak raw-to-derived provenance, and sparse adoption of formal standards or ontologies. This Data Descriptor provides a reproducible, dataset-centred overview of behavioural resources for invertebrate models and practical guidance for FAIR-aligned publication, secondary biological analyses, and AI benchmarking.\u003c/p\u003e","manuscriptTitle":"Systematic Survey of Public Datasets for Behavioral Research in Invertebrate Models: Toward FAIR and Standardized Data Sharing","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-18 09:42:55","doi":"10.21203/rs.3.rs-8382997/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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