[Purpose/significance] FAIR principle for scientific data management in the medical domain is helpful to facilitate the discovery, exchange, sharing and reuse of medical data. The evaluation of FAIR application is useful to guide the normalized description of metadata in the medical scientific data open platform, clarify the traceability and sharing mechanism and improve the data management specification. [Method/process] This research refered to the general framework of Go FAIR Metric Group (GFMG) and FAIR evaluation framework and indicators designed by Dutch Data Archiving and Networked Service (DANS), European Horizon 2020, Australian Research Data Commons (ARDC) and 5 Star Data Rating Tool developed by Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO). Then, this study designed the application evaluation framework based on FAIR principle for medical scientific data open platforms in China. Based on the designed framework in this study, eleven platforms of China were selected as samples to conduct the online research, and research results were analyzed from four dimensions of findability, accessibility, interoperability and reusability. Finally, from the perspectives of identifiers, metadata, licence agreements, vocabulary specifications and provenance description, this paper proposed suggestions for the FAIR application of medical scientific data open platforms in China. [Result/conclusion] The application of FAIR in China medical scientific data open platforms shall be further expanded, especially the adoption of persistent identifiers and provenance description based on the standard.
Li Chunqiu
,
Du Boya
,
Geng Qian
,
Song Ningyuan
,
Li Zixuan
,
Yuan Shunmei
. Application Assessment and Survey Analysis of FAIR Principle in Medical Scientific Data Open Platforms[J]. Library and Information Service, 2022
, 66(3)
: 72
-82
.
DOI: 10.13266/j.issn.0252-3116.2022.03.009
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