Data sharing

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Definition: collection of practices, technologies, cultural elements and legal frameworks that are relevant to the practice of making data used for scholarly research available to other investigators. Gollwitzer et al. (2020) describe two types of data sharing: Type 1: Data that is necessary to reproduce the findings of a published research article. Type 2: data that have been collected in a research project but have not (or only partly) been analysed or reported after the completion of the project and are hence typically shared under a specified embargo period.

Related terms: FAIR principles, Open data

References:

  • 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://eudatasharing.eu/what-data-sharing

Drafted and Reviewed by: Mahmoud Elsherif, Helena Hartmann, Tina Lonsdorf, Charlotte R. Pennington, Timo Roettger, FlĂĄvio Azevedo