FAIR Equivalency, Regulatory Framework and Adoption Potential of FAIR Guidelines in Health in Kenya

作     者：Ester Thea Inau Reginald Nalugala William Muhadi Nandwa Fredrick Obwanda Antony Wachira Antonio Cartaxo 

作者机构：Universitätsmedizin GreifswaldD-17475 GreifswaldGermany Tangaza University CollegeP.O.Box 15055Karen Nairobi Code 00509Kenya Pumwani Hospital968100200 Nairobi KenyaKenya VODAN AfricaKenya Strathmore UniversityP.O.Box 32243-00600Ngara RdNairobiKenya Leiden University2311 EZthe Netherlands 

出 版 物：《Data Intelligence》 (数据智能（英文）)

年 卷 期：2022年第4卷第4期

页      面：852-866,1035,1039-1040,1052页

核心收录：

学科分类：03[法学] 0302[法学-政治学] 030206[法学-国际政治] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：VODAN-Africa the Philips Foundation the Dutch Development Bank FMO CORDAID the GO FAIR Foundation for supporting this research 

主　　题：Data stewardship Health Kenya FAIR Guidelines FAIR Equivalency 

摘      要：This study explored the regulatory framework in Kenya that may facilitate the implementation of the FAIR Guidelines in health research, as well as the possibility of adopting the FAIR Guidelines at the national level. Fourteen key documents pivotal to the emerging digital health sector in Kenya were identified and analysed using a comprehensive coding and labelling approach based on a binary system for whether or not they mention the FAIR Guidelines or terms and vocabulary related to the FAIR Guidelines. The analysis revealed gaps in data stewardship that could be filled by the implementation of the FAIR Guidelines and, although the documents analysed do not explicitly mention the FAIR Guidelines, FAIR Equivalent terminology and practices are mentioned in varying detail. However, our analysis shows that there are still no provisions for the introduction and implementation of the FAIR Guidelines in health research in Kenya. Therefore, we recommend that the leadership be provided with a comprehensive introduction to the FAIR Guidelines, success stories about the FAIRification of data and research infrastructure in other parts of the world, and a demonstration of the steps needed for the FAIRification of health data in Kenya.