FAIR Guidelines and Data Regulatory Framework for Digital Health in Nigeria

Author:

Kawu Abdullahi Abubakar1,Elijah Joseph1,Abdullahi Ibrahim1,Maipanuku Jamilu Yahaya1,Folorunso Sakinat2,Basajja Mariam3,Oladipo Francisca45,Ibrahim Hauwa Limanko1

Affiliation:

1. Department of Computer Science, Ibrahim Badamasi Babangida University, 911101 Lapai, Nigeria

2. Department of Mathematical Sciences, Olabisi Onabanjo University, Ago-Iwoye, 120005 Ogun State, Nigeria

3. Leiden Institute of Computer Science, 1011NC, Amsterdam, the Netherlands

4. Federal University, 260101 Lokoja, Nigeria

5. Kampala International University, Uganda

Abstract

AbstractAdopting the FAIR Guidelines—that data should be Findable, Accessible, Interoperable and Reusable (FAIR)—in the health data system in Nigeria will help protect data against use by unauthorised parties, while also making data more accessible to legitimate users. However, little is known about the FAIR Guidelines and their compatibility with data and health laws and policies in Nigeria. This study assesses the governance framework for digital and health/eHealth policies in Nigeria and explores the possibility of a policy window opening for the FAIR Guidelines to be adopted and implemented in Nigeria's eHealth sector. Ten Nigerian policy documents were examined for mention of the FAIR Guidelines (or FAIR Equivalent terminology) and the 15 sub-criteria or facets. The analysis found that although the FAIR Guidelines are not explicitly mentioned, 70% of the documents contain FAIR Equivalent terminology. The Nigeria Data Protection Regulation contained the most FAIR Equivalent principles (73%) and some of the remaining nine documents also contained some FAIR Equivalent principles (between 0–60%). Accordingly, it can be concluded that a policy window is open for the FAIR Guidelines to be adopted and implemented in Nigeria's eHealth sector.

Publisher

MIT Press

Subject

Artificial Intelligence,Library and Information Sciences,Computer Science Applications,Information Systems

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3