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

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          Abstract

          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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          Most cited references46

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          PSYCHOLOGY. Estimating the reproducibility of psychological science.

          Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
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            Bibliometrics: The Leiden Manifesto for research metrics.

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              Sharing Detailed Research Data Is Associated with Increased Citation Rate

              Background Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. Principal Findings We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression. Significance This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.
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                Author and article information

                Contributors
                leho.tedersoo@ut.ee
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                27 July 2021
                27 July 2021
                2021
                : 8
                : 192
                Affiliations
                [1 ]Estonian Young Academy of Sciences, Kohtu 6, 10130 Tallinn, Estonia
                [2 ]GRID grid.10939.32, ISNI 0000 0001 0943 7661, Mycology and Microbiology Center, , University of Tartu, ; Ravila 14a, 50411 Tartu, Estonia
                [3 ]GRID grid.10939.32, ISNI 0000 0001 0943 7661, Institute of Chemistry, , University of Tartu, ; Ravila 14a, 50411 Tartu, Estonia
                [4 ]GRID grid.10939.32, ISNI 0000 0001 0943 7661, Institute of History and Archaeology, , University of Tartu, ; Jakobi 2, 51005 Tartu, Estonia
                [5 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Forest Sciences, , University of Helsinki, ; PO Box 27 (Latokartanonkaari 7), Helsinki, FI-00014 Finland
                [6 ]GRID grid.10939.32, ISNI 0000 0001 0943 7661, School of Law, , University of Tartu, ; Näituse 20, 50409 Tartu, Estonia
                [7 ]GRID grid.10939.32, ISNI 0000 0001 0943 7661, Institute of Education, , University of Tartu, ; Salme 1a, 50103 Tartu, Estonia
                [8 ]GRID grid.445572.5, Department of Musicology, Music Pedagogy and Cultural Management, , Estonian Academy of Music and Theatre, ; Tatari 13, 10116 Tallinn, Estonia
                [9 ]GRID grid.10939.32, ISNI 0000 0001 0943 7661, Institute for Cultural Research and Fine Arts, , University of Tartu, ; Ülikooli 16, 51003 Tartu, Estonia
                [10 ]GRID grid.10939.32, ISNI 0000 0001 0943 7661, Institute of Physics, , University of Tartu, ; W. Ostwaldi 1, 50411 Tartu, Estonia
                [11 ]GRID grid.10939.32, ISNI 0000 0001 0943 7661, Institute of Pharmacy, , University of Tartu, ; Nooruse 1, 50411 Tartu, Estonia
                [12 ]GRID grid.10939.32, ISNI 0000 0001 0943 7661, Institute of Ecology and Earth Sciences, , University of Tartu, ; Vanemuise 46, 51003 Tartu, Estonia
                Author information
                http://orcid.org/0000-0003-1988-5788
                http://orcid.org/0000-0002-8677-7069
                Article
                981
                10.1038/s41597-021-00981-0
                8381906
                34315906
                62c8a995-be73-4356-a5f6-820e2a0afdc9
                © The Author(s) 2021

                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/.

                History
                : 11 December 2020
                : 29 June 2021
                Categories
                Analysis
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                © The Author(s) 2021

                genetic databases,molecular ecology
                genetic databases, molecular ecology

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