ArticleHeliyon2023
FAIR principles to improve the impact on health research management outcomes.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- The FAIR Case for A Coherent Interoperability to support NHS 10 Year Health Plan.Scientific data · 2026Article
- Clinical Model Autophagy: The Risk of Interpretative Drift in Recursive Medical AI.JMIR medical informatics · 2026Article
- Design and evaluation of semantically-valid negative samples integration techniques for scalable semi-automated drug repurposing prediction pipelines in rare disease research.BMC bioinformatics · 2026Article
- Lessons learned from implementing FAIRification workflows in diabetes research in Germany.PLOS digital health · 2026Article
- Perceptions and Awareness of Healthcare Professionals Regarding FAIR Data Principles and Health Data Sharing in Saudi Arabia.Healthcare (Basel, Switzerland) · 2025Article
- Balancing protection of participants and other stakeholders with openness: African lessons from the MADIVA data sharing and access policy.Global health action · 2025Article
- Ten quick tips for navigating intellectual property in FAIR educational resources.PLoS computational biology · 2025Article
- Ontologies as the semantic bridge between artificial intelligence and healthcare.Frontiers in digital health · 2025Article
- Patient-Centric Approach to Personalized Electronic Medical Records via QR Code in Japan.Interactive journal of medical research · 2024Article
- [FAIR health data in the national and international data space].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024Article
- FAIR compliant database development for human microbiome data samples.Frontiers in cellular and infection microbiology · 2024Article
- Getting ready for the European Health Data Space (EHDS): IDERHA's plan to align with the latest EHDS requirements for the secondary use of health data.Open research Europe · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The FAIR principles, under the open science paradigm, aim to improve the Findability, Accessibility, Interoperability and Reusability of digital data. In this sense, the FAIR4Health project aimed to apply the FAIR principles in the health research field. For this purpose, a workflow and a set of tools were developed to apply FAIR principles in health research datasets, and validated through the demonstration of the potential impact that this strategy has on health research management outcomes. Objective: This paper aims to describe the analysis of the impact on health research management outcomes of the FAIR4Health solution. Methods: To analyse the impact on health research management outcomes in terms of time and economic savings, a survey was designed and sent to experts on data management with expertise in the use of the FAIR4Health solution. Then, differences between the time and costs needed to perform the techniques with (i) standalone research, and (ii) using the proposed solution, were analyzed. Results: In the context of the health research management outcomes, the survey analysis concluded that 56.57% of the time and 16800 EUR per month could be saved if the FAIR4Health solution is used. Conclusions: Adopting principles in health research through the FAIR4Health solution saves time and, consequently, costs in the execution of research involving data management techniques.
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Registered trials
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