Analysis of Open Sharing Strategies of Biomedical Scientific Data Based on the Multiple-case Study

Corresponding author: HU Zhimin, huzhimin@pumc.edu.cn

DOI: 10.12201/bmr.202312.00024

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  Abstract: Purpose/Significance This study aims to put forward strategies for the open sharing of biomedical scientific data and provide theoretical support for the sustainable development of science data in China. Method/Process This study adopts the multiple-case study method to analyze open sharing practices of four international typical biomedical scientific data platforms, including UK Biobank, National Center for Biotechnology Information (NCBI), Global Initiative on Sharing All Influenza Data (GISAID) and Cortellis Drug Discovery Intelligence (CDDI). Result/Conclusion Suggestions are proposed based on three processes of pre-, mid- and post-data sharing: (1) In the construction of data resources, determine the division of data rights and rights subjects. (2) In terms of data opening and using, differentiated management is implemented based on data properties. (3) In terms of data ecology creating, formulate mechanisms and measures to promote data value-added.

  Key words: Scientific data; Biomedical data; Data sharing; Case study

  Submit time: 14 December 2023

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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