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FAIR Equivalency with Regulatory Framework for Digital Health in Uganda

Data Intelligence 2022年第4期4卷 771-797页

作者： Mariam Basajja Mirjam Van Reisen Francisca Oladipo Leiden University Leiden1011NCAmsterdamthe Netherlands Leiden University Medical Centre(LUMC) Leiden University1310 Leidenthe Netherlands Tilburg University P.O.Box 901535000the Netherlands Federal University 260101 LokojaNigeria

This study explores the possibility of opening a policy window for the adoption of the FAIR Guidelines—that data be findable, Accessible, Interoperable, and Reusable(FAIR)—in Uganda’s e Health sector. Although the FAIR Guidelines were not mentioned in any of the policy documents relevant to Uganda’s e Health sector, the study found that 83% of the documents mentioned FAIR Equivalent efforts, such as the adoption of the National Identification Number(NIN) as a unique identifier in Uganda’s national Electronic Health Management Information System(e HMIS)(findability), the planned/ongoing integration of various information systems(interoperability), and the alignment of various projects with international best practices/standards(reusability). A FAIR Equivalency Score(FE-Score), devised in this study as an aggregate score of the mention of the equivalent of FAIR facets in the policy documents, showed that the documents at the core of Uganda’s digital health/e Health policy have the highest score of all the documents analysed, indicating that there is a degree of alignment between Uganda’s National e Health Vision and the FAIR Guidelines. Therefore, it can be concluded that favourable conditions exist for the adoption and implementation of the FAIR Guidelines in Uganda’s e Health sector. Hence, it is recommended that the FAIR community adopt a capacity building strategy through organisations with a worldwide mandate, such as the World Health Organization, to promote the adoption of the FAIR Guidelines as part of international best practices.

关键词： eHealth Digital health GAIR Guidelines FAIR Equivalency findable Accessible Interoperable Reusable HMIS

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FAIR Geoscientific Samples and Data Need International Collaboration

引用

Acta Geologica Sinica(English Edition) 2019年第S1期93卷 32-33页

作者： Kerstin LEHNERT Lesley WYBORN Jens KLUMP Lamont-Doherty Earth Observatory Columbia UniversityPalisadesNY10964USA National Computational Infrastructure Facility and Research School of Earth Sciences Australian National UniversityCanberra2600ACTAustralia CSIRO ARRC KensingtonWA 6151Australia

1 Introduction The primary goal of the Deep-time Digital Earth project is to develop an open collaboration and data sharing platform that enables the transition of deep-time geoscientific research to a Big Data driven *** an open platform will require the ability to effectively and efficiently access and integrate a wide variety of digital Earth data.

关键词： FAIR findable accessible interoperable reusable data standards samples IGSN

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