FAIR Equivalency with Regulatory Framework for Digital Health in Ethiopia

Taye, Getu Tadelle; Amare, Samson Yohannes; Gebremeskel, Tesfit G.; Medhanyie, Araya Abrha; Ayele, Wondimu; Habtamu, Tigist; Reisen, Mirjam van

doi:10.1162/dint_a_00172

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…The findings reveal that the regulatory framework does not place any restrictions on the implementation of the FAIR Guidelines in Nigeria and, in principle, most regulations appear to support FAIR Guidelines by application or implication, as highlighted above. These findings reflect the conclusions drawn by researchers who implemented the study on the FAIR Equivalency of the regulatory frameworks in Uganda [15], Kenya [19], Ethiopia [20], Zimbabwe [21] and Indonesia [22] and the comparative analyses presented in [8].…”

Section: Fair Equivalency In the Policy Documentssupporting

confidence: 83%

FAIR Guidelines and Data Regulatory Framework for Digital Health in Nigeria

et al. 2022

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Adopting 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.

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Section: Fair Equivalency In the Policy Documentssupporting

confidence: 83%

FAIR Guidelines and Data Regulatory Framework for Digital Health in Nigeria

et al. 2022

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“…The governance has local and global dimensions and identifies how local governance frameworks interplay with global frameworks. VODAN-Africa data production and use includes data processing agreements which relate to GDPR in terms of the principles, processes, and standards that a given local implementation follows, and the adherence of these with policy directions in the jurisdictions at hand [3,5,12,13]. In addition to the advantages of data being curated with FAIR-OLR guidelines, the tooling also needs to follow these guidelines.…”

Section: Fair-olr Governance Frameworkmentioning

confidence: 99%

Federated FAIR principles: Ownership, localisation and regulatory compliance (OLR)

Reisen

Amare

Nalugala³

et al. 2023

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“…In VODAN-Africa, this analysis has been carried out using what is referred to as 'FAIR Equivalency' analysis; this measures the alignment of the relevant regulatory framework with the FAIR Guidelines. An analysis has been carried out for Uganda [12], Kenya [13], Nigeria [14], Ethiopia [15], and Zimbabwe [16], as well as outside Africa in Indonesia [17]. In addition to these analytical tools, the authorities relevant to health data management in the geographies incorporated in VODAN-Africa are required to support and approve the data handling activity.…”

Section: Data Visiting Privacy Frameworkmentioning

confidence: 99%

Data Access, Control, and Privacy Protection in the VODAN-Africa Architecture

et al. 2022

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The Virus Outbreak Data Network (VODAN)-Africa aims to contribute to the publication of Findable Accessible, Interoperable, and Reusable (FAIR) health data under well-defined access conditions. The next step in the VODAN-Africa architecture is to locally deploy the Center for Expanded Data Annotation and Retrieval (CEDAR) and arrange accessibility based on the ‘data visiting’ concept. Locally curated and reposited machine-actionable data can be visited by queries or algorithms, provided that the conditions of access are met. The goal is to enable the multiple (re)use of data with secure access functionality by clinicians (patient care), an idea aligned with the FAIR-based Personal Health Train (PHT) concept. The privacy and security requirements in relation to the FAIR Data Host and the FAIRification workspace (to produce metadata) or dashboard (for the patient) must be clear to design the IT architecture. This article describes a (first) practice, a reference implementation in development, within the VODAN-Africa and Leiden University Medical Center community.

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FAIR Equivalency with Regulatory Framework for Digital Health in Ethiopia

Cited by 7 publications

References 11 publications

FAIR Guidelines and Data Regulatory Framework for Digital Health in Nigeria

FAIR Guidelines and Data Regulatory Framework for Digital Health in Nigeria

Federated FAIR principles: Ownership, localisation and regulatory compliance (OLR)

Data Access, Control, and Privacy Protection in the VODAN-Africa Architecture

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