数据共享 [Data sharing]

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定义: 数据共享是指，将用于学术研究的数据提供给其他研究人员的相关实践、技术、文化因素和法律框架的集合。数据共享有两种类型：（1）复现已发表的研究发现所必需的数据；（2）在研究项目中收集的，但项目完成后尚未（或仅部分）进行分析或报告的数据，这些数据的共享通常会有一个特定的禁运期（Gollwitzer et al., 2020）。

相关术语: FAIR principles, Open data

参考文献:

  • Abele-Brehm, A. E., Gollwitzer, M., Steinberg, U., & Schönbrodt, F. D. (2019). Attitudes toward open science and public data sharing. Social Psychology, 50, 252–260. https://doi.org/10.1027/1864-9335/a000384
  • Gollwitzer, M., Abele-Brehm, A., Fiebach, C., Ramthun, R., Scheel, A. M., Schönbrodt, F. D., & Steinberg, U. (2020). Data Management and Data Sharing in Psychological Science: Revision of the DGPs Recommendations.
  • for Data Sharing, S. C. (n.d.). What is data sharing? Retrieved 11 July 2021. https://futurium.ec.europa.eu/en/support-centre-data-sharing/pages/about

原稿作者: Mahmoud Elsherif

审阅者: Helena Hartmann, Tina Lonsdorf, Charlotte R. Pennington, Timo Roettger, Flávio Azevedo

翻译者: AI-driven translation tool "TransFlow" (developed by Jinbiao Yang and COSN OpenTransfer team)

译稿审阅者: Xuejun Ryan Ji, Liangjie Chen, Ruoting Liu, Shuxian Jin