Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45013, first published .
Initiatives, Concepts, and Implementation Practices of the Findable, Accessible, Interoperable, and Reusable Data Principles in Health Data Stewardship: Scoping Review

Initiatives, Concepts, and Implementation Practices of the Findable, Accessible, Interoperable, and Reusable Data Principles in Health Data Stewardship: Scoping Review

Initiatives, Concepts, and Implementation Practices of the Findable, Accessible, Interoperable, and Reusable Data Principles in Health Data Stewardship: Scoping Review

Journals

  1. Wright R, Makris K, Natsiavas P, Fennell T, Rushing B, Wilson A, Adamu Y, Adar S, Adebamowo C, Akhtari F, Argos M, Arunachalam S, Baumert B, Beglarian E, Berger K, Bhutani J, Cai L, Calafat A, Chao M, Chatziioannou A, Cheng Q, Chung M, Clark R, Hubal E, Cooke M, Costello E, Cui Y, Dierickx E, Dolinoy D, Du X, Folle A, Gao P, Gaulke C, Giebelhaus R, Goodrich J, Grafanaki K, Gullapalli R, Habre R, Hanson H, Harari H, Hart J, He J, Holmes P, Hood D, House J, Hu H, Hu C, James P, Jankowska M, Ji H, Kannan S, Konstantinou C, Lai Y, Langston M, Lasalle J, Liang D, Liao J, Luo J, Manz K, Miller G, Motsinger-Reif A, Ouidir M, Page G, Pan S, Parker G, Paul K, Peluso A, Penning T, Pierce B, Prajapati N, Quintana P, Rajasekar A, Ramesh A, Ruden D, Rushing B, Schmitt C, Schüssler-Fiorenza Rose S, Shah R, Shahriar M, Soares L, Soliman G, Stanek L, States J, Stingone J, Irizarry S, Sun Y, Teitelbaum S, Tong A, Vijayakumar N, Walker R, Wang Y, Whyte K, Wu L, Wu K, Yuan X, Zhang Q, Zhang X, Zhang K, Zhao N. A long and winding road: culture change on data sharing in exposomics. Exposome 2024;4(1) View
  2. Waltemath D, Beyan O, Crameri K, Dedié A, Gierend K, Gröber P, Inau E, Michaelis L, Reinecke I, Sedlmayr M, Thun S, Krefting D. FAIRe Gesundheitsdaten im nationalen und internationalen Datenraum. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(6):710 View
  3. 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
  4. Lamer A, Popoff B, Delange B, Doutreligne M, Chazard E, Marcilly R, Priou S, Quindroit P. Barriers encountered with clinical data warehouses: Recommendations from a focus group. Computer Methods and Programs in Biomedicine 2024;256:108404 View
  5. Inau E, Dedié A, Anastasova I, Schick R, Zdravomyslov Y, Fröhlich B, Birkenfeld A, Hrabě de Angelis M, Roden M, Zeleke A, Preusse M, Waltemath D. The Journey to a FAIR CORE DATA SET for Diabetes Research in Germany. Scientific Data 2024;11(1) View