FAIR Data Sharing: The Roles of Common Data Elements and Harmonization.

R D Kush, D Warzel, M A Kush, A Sherman, E A Navarro, R Fitzmartin,F Pétavy, J Galvez, L B Becnel,F L Zhou, N Harmon,B Jauregui,T Jackson, L Hudson

Journal of Biomedical Informatics(2020)

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摘要
The value of robust and responsible data sharing in clinical research and healthcare is recognized by patients, patient advocacy groups, researchers, journal editors, and the healthcare industry globally. Privacy and security concerns acknowledged, the act of exchanging data (interoperability) along with its meaning (semantic interoperability) across studies and between partners has been difficult, if not elusive. For shared data to retain its value, a recommendation has been made to follow the Findable, Accessible, Interoperable, Reusable (FAIR) principles. Without applying appropriate data exchange standards with domain-relevant content standards and accessible rich metadata that uses applicable terminologies, interoperability is burdened by the need for transformation and/or mapping. These obstacles to interoperability limit the findability, accessibility and reusability of data, thus diminishing its value and making it impossible to adhere to FAIR principles.
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