Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, Meibergdreef 9, The Netherlands.
Castor EDC, Amsterdam, The Netherlands.
Sci Data. 2022 May 27;9(1):241. doi: 10.1038/s41597-022-01325-2.
The FAIR Data Principles are being rapidly adopted by many research institutes and funders worldwide. This study aimed to assess the awareness and attitudes of clinical researchers and research support staff regarding data FAIRification. A questionnaire was distributed to researchers and support staff in six Dutch University Medical Centers and Electronic Data Capture platform users. 164 researchers and 21 support staff members completed the questionnaire. 62.8% of the researchers and 81.0% of the support staff are currently undertaking at least some effort to achieve any aspect of FAIR, 11.0% and 23.8%, respectively, address all aspects. Only 46.6% of the researchers add metadata to their datasets, 39.7% add metadata to data elements, and 35.9% deposit their data in a repository. 94.7% of the researchers are aware of the usefulness of their data being FAIR for others and 89.3% are, given the right resources and support, willing to FAIRify their data. Institutions and funders should, therefore, develop FAIRification training and tools and should (financially) support researchers and staff throughout the process.
FAIR 数据原则正在被全球许多研究所和资助者迅速采用。本研究旨在评估临床研究人员和研究支持人员对数据 FAIR 化的认识和态度。向六家荷兰大学医学中心的研究人员和支持人员以及电子数据捕获平台用户分发了一份问卷。164 名研究人员和 21 名支持人员完成了问卷。62.8%的研究人员和 81.0%的支持人员目前正在努力实现 FAIR 的至少一个方面,分别有 11.0%和 23.8%的人员则解决了所有方面的问题。只有 46.6%的研究人员为其数据集添加了元数据,39.7%的研究人员为数据元素添加了元数据,35.9%的研究人员将其数据存入存储库。94.7%的研究人员意识到他们的数据对其他人是有用的,并且 89.3%的研究人员愿意在获得适当的资源和支持的情况下 FAIR 化他们的数据。因此,机构和资助者应该开发 FAIR 化培训和工具,并在整个过程中为研究人员和工作人员提供(财务)支持。