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

被引:167
作者
Tedersoo, Leho [1 ,2 ]
Kungas, Rainer [1 ]
Oras, Ester [1 ,3 ,4 ]
Koster, Kajar [1 ,5 ]
Eenmaa, Helen [1 ,6 ]
Leijen, Ali [1 ,7 ]
Pedaste, Margus [7 ]
Raju, Marju [1 ,8 ]
Astapova, Anastasiya [1 ,9 ]
Lukner, Heli [1 ,10 ]
Kogermann, Karin [1 ,11 ]
Sepp, Tuul [1 ,12 ]
机构
[1] Estonian Young Acad Sci, Kohtu 6, EE-10130 Tallinn, Estonia
[2] Univ Tartu, Mycol & Microbiol Ctr, Ravila 14a, EE-50411 Tartu, Estonia
[3] Univ Tartu, Inst Chem, Ravila 14a, EE-50411 Tartu, Estonia
[4] Univ Tartu, Inst Hist & Archaeol, Jakobi 2, EE-51005 Tartu, Estonia
[5] Univ Helsinki, Dept Forest Sci, POB 27,Latokartanonkaari 7, FI-00014 Helsinki, Finland
[6] Univ Tartu, Sch Law, Naituse 20, EE-50409 Tartu, Estonia
[7] Univ Tartu, Inst Educ, Salme 1a, EE-50103 Tartu, Estonia
[8] Estonian Acad Mus & Theatre, Dept Musicol Mus Pedag & Cultural Management, Tatari 13, EE-10116 Tallinn, Estonia
[9] Univ Tartu, Inst Cultural Res & Fine Arts, Ulikooli 16, EE-51003 Tartu, Estonia
[10] Univ Tartu, Inst Phys, W Ostwaldi 1, EE-50411 Tartu, Estonia
[11] Univ Tartu, Inst Pharm, Nooruse 1, EE-50411 Tartu, Estonia
[12] Univ Tartu, Inst Ecol & Earth Sci, Vanemuise 46, EE-51003 Tartu, Estonia
关键词
REPRODUCIBILITY; CHALLENGES; QUALITY; SCIENCE;
D O I
10.1038/s41597-021-00981-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:11
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