FAIR Equivalency with Regulatory Framework for Digital Health in Ethiopia

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Intelligence Pub Date : 2022-08-18 DOI:10.1162/dint_a_00172
Getu Tadele Taye, S. Amare, T. G. Gebremeskel, A. Medhanyie, W. Ayele, Tigist Habtamu, M. Reisen
{"title":"FAIR Equivalency with Regulatory Framework for Digital Health in Ethiopia","authors":"Getu Tadele Taye, S. Amare, T. G. Gebremeskel, A. Medhanyie, W. Ayele, Tigist Habtamu, M. Reisen","doi":"10.1162/dint_a_00172","DOIUrl":null,"url":null,"abstract":"Abstract This paper investigates whether or not there is a policy window for making health data ‘Findable’, ‘Accessible’ (under well-defined conditions), ‘Interoperable’ and ‘Reusable’ (FAIR) in Ethiopia. The question is answered by studying the alignment of policies for health data in Ethiopia with the FAIR Guidelines or their ‘FAIR Equivalency’. Policy documents relating to the digitalisation of health systems in Ethiopia were examined to determine their FAIR Equivalency. Although the documents are fragmented and have no overarching governing framework, it was found that they aim to make the disparate health data systems in Ethiopia interoperable and boost the discoverability and (re)usability of data for research and better decision making. Hence, the FAIR Guidelines appear to be aligned with the regulatory frameworks for ICT and digital health in Ethiopia and, under the right conditions, a policy window could open for their adoption and implementation.","PeriodicalId":34023,"journal":{"name":"Data Intelligence","volume":"4 1","pages":"813-826"},"PeriodicalIF":1.3000,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Intelligence","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1162/dint_a_00172","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 6

Abstract

Abstract This paper investigates whether or not there is a policy window for making health data ‘Findable’, ‘Accessible’ (under well-defined conditions), ‘Interoperable’ and ‘Reusable’ (FAIR) in Ethiopia. The question is answered by studying the alignment of policies for health data in Ethiopia with the FAIR Guidelines or their ‘FAIR Equivalency’. Policy documents relating to the digitalisation of health systems in Ethiopia were examined to determine their FAIR Equivalency. Although the documents are fragmented and have no overarching governing framework, it was found that they aim to make the disparate health data systems in Ethiopia interoperable and boost the discoverability and (re)usability of data for research and better decision making. Hence, the FAIR Guidelines appear to be aligned with the regulatory frameworks for ICT and digital health in Ethiopia and, under the right conditions, a policy window could open for their adoption and implementation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
与埃塞俄比亚数字卫生监管框架的公平对等
摘要本文调查了埃塞俄比亚是否存在使卫生数据“可查找”、“可访问”(在定义明确的条件下)、“可互操作”和“可重复使用”(FAIR)的政策窗口。通过研究埃塞俄比亚卫生数据政策与《公平准则》或其“公平等效性”的一致性,可以回答这个问题。审查了与埃塞俄比亚卫生系统数字化有关的政策文件,以确定其公平等效性。尽管这些文件支离破碎,没有总体管理框架,但发现它们旨在使埃塞俄比亚不同的卫生数据系统具有互操作性,并提高数据的可发现性和(再)可用性,以用于研究和更好的决策。因此,《公平准则》似乎与埃塞俄比亚的信通技术和数字卫生监管框架保持一致,在适当的条件下,可以为其采用和实施打开政策窗口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Data Intelligence
Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.50
自引率
15.40%
发文量
40
审稿时长
8 weeks
期刊最新文献
The Limitations and Ethical Considerations of ChatGPT Rule Mining Trends from 1987 to 2022: A Bibliometric Analysis and Visualization Classification and quantification of timestamp data quality issues and its impact on data quality outcome BIKAS: Bio-Inspired Knowledge Acquisition and Simulacrum—A Knowledge Database to Support Multifunctional Design Concept Generation Exploring Attentive Siamese LSTM for Low-Resource Text Plagiarism Detection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1