This paper is in the following e-collection/theme issue:

Scoping Review Protocols (180) Data Science (268) Ethics, Privacy, and Legal Issues (479) Information Retrieval (286) Health Information Exchange (96)

Published on in Vol 10, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22505, first published .
Initiatives, Concepts, and Implementation Practices of FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles in Health Data Stewardship Practice: Protocol for a Scoping Review

Initiatives, Concepts, and Implementation Practices of FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles in Health Data Stewardship Practice: Protocol for a Scoping Review

Initiatives, Concepts, and Implementation Practices of FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles in Health Data Stewardship Practice: Protocol for a Scoping Review

Authors of this article:

Esther Thea Inau1 Author Orcid Image ;   Jean Sack2 Author Orcid Image ;   Dagmar Waltemath1 Author Orcid Image ;   Atinkut Alamirrew Zeleke1 Author Orcid Image
Article Authors Cited by (29) Tweetations (9) Metrics

Journals

  1. Pires J, Huisman J, Bonhoeffer S, Van Boeckel T. Increase in antimicrobial resistance in Escherichia coli in food animals between 1980 and 2018 assessed using genomes from public databases. Journal of Antimicrobial Chemotherapy 2022;77(3):646 View
  2. Corujo L. “Who Is the FAIRest of Them All?” Authors, Entities, and Journals Regarding FAIR Data Principles. Publications 2022;10(3):31 View
  3. Thomas D, Kleinberg S, Brown A, Crow M, Bastian N, Reisweber N, Lasater R, Kendall T, Shafto P, Blaine R, Smith S, Ruiz D, Morrell C, Clark N. Machine learning modeling practices to support the principles of AI and ethics in nutrition research. Nutrition & Diabetes 2022;12(1) View
  4. Niarakis A, Waltemath D, Glazier J, Schreiber F, Keating S, Nickerson D, Chaouiya C, Siegel A, Noël V, Hermjakob H, Helikar T, Soliman S, Calzone L. Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology. Briefings in Bioinformatics 2022;23(4) View
  5. Maher M, Khan I, Prikshat V. Monetisation of digital health data through a GDPR-compliant and blockchain enabled digital health data marketplace: A proposal to enhance patient's engagement with health data repositories. International Journal of Information Management Data Insights 2023;3(1):100159 View
  6. Haggar P, Ampatzi E, Potoglou D, Schweiker M. Information sharing preferences within buildings: Benefits of cognitive interviewing for enhancing a discrete choice experiment. Energy and Buildings 2022;258:111786 View
  7. Gebreslassie T, van Reisen M, Amare S, Taye G, Plug R, Magagna B. FHIR4FAIR: Leveraging FHIR in health data FAIRfication process: In the case of VODAN-A. FAIR Connect 2023;1(1):49 View
  8. Akindele A, Arulogun O, Taye G, Amare S, Van Reisen M, Berhe K, Gusite B. The Impact of COVID-19 and FAIR Data Innovation on Distance Education in Africa. Data Intelligence 2022;4(4):1013 View
  9. Van Meenen J, Leysen H, Chen H, Baccarne R, Walter D, Martin B, Maudsley S. Making Biomedical Sciences publications more accessible for machines. Medicine, Health Care and Philosophy 2022;25(2):179 View
  10. Alvarez-Romero C, Martinez-Garcia A, Ternero Vega J, Díaz-Jimènez P, Jimènez-Juan C, Nieto-Martín M, Román Villarán E, Kovacevic T, Bokan D, Hromis S, Djekic Malbasa J, Beslać S, Zaric B, Gencturk M, Sinaci A, Ollero Baturone M, Parra Calderón C. Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study. JMIR Medical Informatics 2022;10(6):e35307 View
  11. Françoise M, Frambourt C, Goodwin P, Haggerty F, Jacques M, Lama M, Leroy C, Martin A, Calderon R, Robert J, Schulz-Ruthenberg E, Tafur L, Nasser M, Stüwe L. Evidence based policy making during times of uncertainty through the lens of future policy makers: four recommendations to harmonise and guide health policy making in the future. Archives of Public Health 2022;80(1) View
  12. Eminaga O, Lee T, Ge J, Shkolyar E, Laurie M, Long J, Hockman L, Liao J. Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence. Journal of Biomedical Informatics 2023;142:104369 View
  13. Wolfien M, Ahmadi N, Fitzer K, Grummt S, Heine K, Jung I, Krefting D, Kühn A, Peng Y, Reinecke I, Scheel J, Schmidt T, Schmücker P, Schüttler C, Waltemath D, Zoch M, Sedlmayr M. Ten Topics to Get Started in Medical Informatics Research. Journal of Medical Internet Research 2023;25:e45948 View
  14. Ting J, Tamayo-Mendoza T, Petersen S, Van Reet J, Ahmed U, Snell N, Fisher J, Stern M, Oviedo F. Frontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics. Chemical Communications 2023;59(96):14197 View
  15. Inau E, Sack J, Waltemath D, Zeleke A. Initiatives, Concepts, and Implementation Practices of the Findable, Accessible, Interoperable, and Reusable Data Principles in Health Data Stewardship: Scoping Review. Journal of Medical Internet Research 2023;25:e45013 View
  16. Sonin J, Becker A, Nipp K. Designing health outcomes through patient data ownership. Journal of Hospital Medicine 2023;18(8):765 View
  17. Ouwerkerk J, Rasche H, Spalding J, Hiltemann S, Stubbs A. FAIR data retrieval for sensitive clinical research data in Galaxy. GigaScience 2024;13 View
  18. Tegegne H, Freeth F, Bogaardt C, Taylor E, Reinhardt J, Collineau L, Prada J, Hénaux V. Implementation of One Health surveillance systems: Opportunities and challenges - lessons learned from the OH-EpiCap application. One Health 2024;18:100704 View
  19. Salybekov A, Wolfien M, Hahn W, Hidaka S, Kobayashi S. Artificial Intelligence Reporting Guidelines’ Adherence in Nephrology for Improved Research and Clinical Outcomes. Biomedicines 2024;12(3):606 View
  20. Ke Y, Yang R, Liu N. Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study. Journal of Medical Internet Research 2024;26:e48330 View
  21. Raza S, Ghuge S, Ding C, Dolatabadi E, Pandya D. FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training?. Data Intelligence 2024;6(2):559 View
  22. Edayan J, Gallemit A, Sacala N, Palmer X, Potter L, Rarugal J, Velasco L. Integration technologies in laboratory information systems: A systematic review. Informatics in Medicine Unlocked 2024;50:101566 View
  23. Towett G, Snead R, Marczika J, Prada I. Discursive framework for a multi-disease digital health passport in Africa: a perspective. Globalization and Health 2024;20(1) View
  24. Gierend K, Krüger F, Genehr S, Hartmann F, Siegel F, Waltemath D, Ganslandt T, Zeleke A. Provenance Information for Biomedical Data and Workflows: Scoping Review. Journal of Medical Internet Research 2024;26:e51297 View
  25. Shah S, Peristeras V, Magnisalis I. A conceptual framework for the government big data ecosystem (‘datagov.eco’). Data & Knowledge Engineering 2024;154:102348 View

Books/Policy Documents

  1. Lee J, Dahiya V, Imran H. Text Mining Approaches for Biomedical Data. View