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

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 declinin...

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Autores principales: Tedersoo, Leho, Küngas, Rainer, Oras, Ester, Köster, Kajar, Eenmaa, Helen, Leijen, Äli, Pedaste, Margus, Raju, Marju, Astapova, Anastasiya, Lukner, Heli, Kogermann, Karin, Sepp, Tuul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381906/
https://www.ncbi.nlm.nih.gov/pubmed/34315906
http://dx.doi.org/10.1038/s41597-021-00981-0
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author Tedersoo, Leho
Küngas, Rainer
Oras, Ester
Köster, Kajar
Eenmaa, Helen
Leijen, Äli
Pedaste, Margus
Raju, Marju
Astapova, Anastasiya
Lukner, Heli
Kogermann, Karin
Sepp, Tuul
author_facet Tedersoo, Leho
Küngas, Rainer
Oras, Ester
Köster, Kajar
Eenmaa, Helen
Leijen, Äli
Pedaste, Margus
Raju, Marju
Astapova, Anastasiya
Lukner, Heli
Kogermann, Karin
Sepp, Tuul
author_sort Tedersoo, Leho
collection PubMed
description 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.
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spelling pubmed-83819062021-09-14 Data sharing practices and data availability upon request differ across scientific disciplines Tedersoo, Leho Küngas, Rainer Oras, Ester Köster, Kajar Eenmaa, Helen Leijen, Äli Pedaste, Margus Raju, Marju Astapova, Anastasiya Lukner, Heli Kogermann, Karin Sepp, Tuul Sci Data Analysis 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. Nature Publishing Group UK 2021-07-27 /pmc/articles/PMC8381906/ /pubmed/34315906 http://dx.doi.org/10.1038/s41597-021-00981-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Analysis
Tedersoo, Leho
Küngas, Rainer
Oras, Ester
Köster, Kajar
Eenmaa, Helen
Leijen, Äli
Pedaste, Margus
Raju, Marju
Astapova, Anastasiya
Lukner, Heli
Kogermann, Karin
Sepp, Tuul
Data sharing practices and data availability upon request differ across scientific disciplines
title Data sharing practices and data availability upon request differ across scientific disciplines
title_full Data sharing practices and data availability upon request differ across scientific disciplines
title_fullStr Data sharing practices and data availability upon request differ across scientific disciplines
title_full_unstemmed Data sharing practices and data availability upon request differ across scientific disciplines
title_short Data sharing practices and data availability upon request differ across scientific disciplines
title_sort data sharing practices and data availability upon request differ across scientific disciplines
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381906/
https://www.ncbi.nlm.nih.gov/pubmed/34315906
http://dx.doi.org/10.1038/s41597-021-00981-0
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