Data sharing practices and data availability upon request differ across scientific disciplines

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http://hdl.handle.net/10138/333245

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Tedersoo , L , Kungas , R , Oras , E , Köster , K , Eenmaa , H , Leijen , A , Pedaste , M , Raju , M , Astapova , A , Lukner , H , Kogermann , K & Sepp , T 2021 , ' Data sharing practices and data availability upon request differ across scientific disciplines ' , Scientific data , vol. 8 , 192 . https://doi.org/10.1038/s41597-021-00981-0

Titel: Data sharing practices and data availability upon request differ across scientific disciplines
Författare: Tedersoo, Leho; Kungas, Rainer; Oras, Ester; Köster, Kajar; Eenmaa, Helen; Leijen, Ali; Pedaste, Margus; Raju, Marju; Astapova, Anastasiya; Lukner, Heli; Kogermann, Karin; Sepp, Tuul
Upphovmannens organisation: Department of Forest Sciences
Viikki Plant Science Centre (ViPS)
Forest Soil Science and Biogeochemistry
Ecosystem processes (INAR Forest Sciences)
Datum: 2021-07-27
Språk: eng
Sidantal: 11
Tillhör serie: Scientific data
ISSN: 2052-4463
DOI: https://doi.org/10.1038/s41597-021-00981-0
Permanenta länken (URI): http://hdl.handle.net/10138/333245
Abstrakt: Data sharing is one of the cornerstones of modern science that enables large-scale analyses and reproducibility. We evaluated data availability in research articles across nine disciplines in Nature and Science magazines and recorded corresponding authors' concerns, requests and reasons for declining data sharing. Although data sharing has improved in the last decade and particularly in recent years, data availability and willingness to share data still differ greatly among disciplines. We observed that statements of data availability upon (reasonable) request are inefficient and should not be allowed by journals. To improve data sharing at the time of manuscript acceptance, researchers should be better motivated to release their data with real benefits such as recognition, or bonus points in grant and job applications. We recommend that data management costs should be covered by funding agencies; publicly available research data ought to be included in the evaluation of applications; and surveillance of data sharing should be enforced by both academic publishers and funders. These cross-discipline survey data are available from the plutoF repository.
Subject: REPRODUCIBILITY
CHALLENGES
QUALITY
SCIENCE
113 Computer and information sciences
Referentgranskad: Ja
Licens: cc_by
Användningsbegränsning: openAccess
Parallelpublicerad version: publishedVersion


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