COVID-19-related research data availability and quality according to the FAIR principles : A meta-research study

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dc.contributor.authorSofi-Mahmudi, Ahmad
dc.contributor.authorRaittio, Eero
dc.contributor.authorKhazaei, Yeganeh
dc.contributor.authorAshraf, Javed
dc.contributor.authorSchwendicke, Falk
dc.contributor.authorUribe, Sergio E.
dc.contributor.authorMoher, David
dc.contributor.institutionDepartment of Conservative Dentistry and Oral Health
dc.date.accessioned2024-11-26T22:03:27Z
dc.date.available2024-11-26T22:03:27Z
dc.date.issued2024-11-18
dc.descriptionPublisher Copyright: © 2024 Sofi-Mahmudi 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 author and source are credited.
dc.description.abstractBACKGROUND: According to the FAIR principles (Findable, Accessible, Interoperable, and Reusable), scientific research data should be findable, accessible, interoperable, and reusable. The COVID-19 pandemic has led to massive research activities and an unprecedented number of topical publications in a short time. However, no evaluation has assessed whether this COVID-19-related research data has complied with FAIR principles (or FAIRness). OBJECTIVE: Our objective was to investigate the availability of open data in COVID-19-related research and to assess compliance with FAIRness. METHODS: We conducted a comprehensive search and retrieved all open-access articles related to COVID-19 from journals indexed in PubMed, available in the Europe PubMed Central database, published from January 2020 through June 2023, using the metareadr package. Using rtransparent, a validated automated tool, we identified articles with links to their raw data hosted in a public repository. We then screened the link and included those repositories that included data specifically for their pertaining paper. Subsequently, we automatically assessed the adherence of the repositories to the FAIR principles using FAIRsFAIR Research Data Object Assessment Service (F-UJI) and rfuji package. The FAIR scores ranged from 1-22 and had four components. We reported descriptive analysis for each article type, journal category, and repository. We used linear regression models to find the most influential factors on the FAIRness of data. RESULTS: 5,700 URLs were included in the final analysis, sharing their data in a general-purpose repository. The mean (standard deviation, SD) level of compliance with FAIR metrics was 9.4 (4.88). The percentages of moderate or advanced compliance were as follows: Findability: 100.0%, Accessibility: 21.5%, Interoperability: 46.7%, and Reusability: 61.3%. The overall and component-wise monthly trends were consistent over the follow-up. Reviews (9.80, SD = 5.06, n = 160), articles in dental journals (13.67, SD = 3.51, n = 3) and Harvard Dataverse (15.79, SD = 3.65, n = 244) had the highest mean FAIRness scores, whereas letters (7.83, SD = 4.30, n = 55), articles in neuroscience journals (8.16, SD = 3.73, n = 63), and those deposited in GitHub (4.50, SD = 0.13, n = 2,152) showed the lowest scores. Regression models showed that the repository was the most influential factor on FAIRness scores (R2 = 0.809). CONCLUSION: This paper underscored the potential for improvement across all facets of FAIR principles, specifically emphasizing Interoperability and Reusability in the data shared within general repositories during the COVID-19 pandemic.en
dc.description.statusPeer reviewed
dc.format.extent16
dc.format.extent901702
dc.identifier.citationSofi-Mahmudi, A, Raittio, E, Khazaei, Y, Ashraf, J, Schwendicke, F, Uribe, S E & Moher, D 2024, 'COVID-19-related research data availability and quality according to the FAIR principles : A meta-research study', PloS one, vol. 19, no. 11, e0313991, pp. 1-16. https://doi.org/10.1371/journal.pone.0313991
dc.identifier.doi10.1371/journal.pone.0313991
dc.identifier.issn1932-6203
dc.identifier.otherPubMedCentral: PMC11573139
dc.identifier.urihttps://dspace.rsu.lv/jspui/handle/123456789/16932
dc.identifier.urlhttps://www-webofscience-com.db.rsu.lv/wos/alldb/full-record/MEDLINE:39556553
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85209692419&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofPloS one
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCOVID-19/epidemiology
dc.subjectHumans
dc.subjectSARS-CoV-2
dc.subjectBiomedical Research
dc.subjectData Accuracy
dc.subjectPandemics
dc.subjectInformation Dissemination/methods
dc.subject3.2 Clinical medicine
dc.subject1.1. Scientific article indexed in Web of Science and/or Scopus database
dc.titleCOVID-19-related research data availability and quality according to the FAIR principles : A meta-research studyen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article

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