{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:52:37Z","timestamp":1792788757143,"version":"4.5.0"},"reference-count":23,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Bundesministerium f\u00fcr Forschung, Technologie und Raumfahrt","award":["01UP2100"],"award-info":[{"award-number":["01UP2100"]}],"id":[{"id":"https:\/\/ror.org\/04pz7b180","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>This study investigates the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of survey data collected during the COVID-19 pandemic in Germany. During the pandemic, surveys played a crucial role in capturing public attitudes and health-related behaviors, but researchers often faced a trade-off between rapid data collection and implementing high-quality survey designs. Using metadata from the \u201cSurvey Data Collection during the COVID-19 Pandemic\u201d (SDCCP) project, which documents 717 surveys conducted in Germany, we assessed the FAIRness of surveys published with a persistent identifier or project website using the F-UJI assessment tool. Our results show substantial variation in FAIRness scores. Surveys can be divided into two groups, with one group achieving around 88.46% FAIRness and the other averaging around 65.38%. These differences are correlated with survey design. Surveys using fast and cost-efficient designs also exhibit lower FAIRness. The findings highlight that the trade-off between rapid data production and methodological rigor during the pandemic also affected the availability and reusability of survey data.<\/jats:p>","DOI":"10.1371\/journal.pone.0358755","type":"journal-article","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T17:31:45Z","timestamp":1791567105000},"page":"e0358755","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Assessing the FAIRness of survey data collected during the COVID-19 pandemic in Germany"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6469-7802","authenticated-orcid":true,"given":"Tobias","family":"Gummer","sequence":"first","affiliation":[{"name":"GESIS Leibniz Institute for the Social Sciences","place":["Mannheim, Germany"],"department":["Data and Research on Society"]},{"name":"Heidelberg University, Max Weber Institute of Sociology","place":["Heidelberg, Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ko-Hsuan","family":"Lu","sequence":"additional","affiliation":[{"name":"GESIS Leibniz Institute for the Social Sciences","place":["Mannheim, Germany"],"department":["Data and Research on Society"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6552-2141","authenticated-orcid":true,"given":"Karolina","family":"von Glasenapp","sequence":"additional","affiliation":[{"name":"GESIS Leibniz Institute for the Social Sciences","place":["Mannheim, Germany"],"department":["Data and Research on Society"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,10,9]]},"reference":[{"issue":"7","key":"pone.0358755.ref001","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1016\/S2215-0366(20)30237-6","article-title":"Says who? 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