Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an Interdisciplinary, Consensus-Based Workflow: Data Set Development Study

BACKGROUND: The COVID-19 pandemic has spurred large-scale, interinstitutional research efforts. To enable these efforts, researchers must agree on data set definitions that not only cover all elements relevant to the respective medical specialty but also are syntactically and semantically interopera...

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Detalles Bibliográficos
Autores principales: Lichtner, Gregor, Haese, Thomas, Brose, Sally, Röhrig, Larissa, Lysyakova, Liudmila, Rudolph, Stefanie, Uebe, Maria, Sass, Julian, Bartschke, Alexander, Hillus, David, Kurth, Florian, Sander, Leif Erik, Eckart, Falk, Toepfner, Nicole, Berner, Reinhard, Frey, Anna, Dörr, Marcus, Vehreschild, Jörg Janne, von Kalle, Christof, Thun, Sylvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368099/
https://www.ncbi.nlm.nih.gov/pubmed/37490312
http://dx.doi.org/10.2196/45496

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368099/
https://www.ncbi.nlm.nih.gov/pubmed/37490312
http://dx.doi.org/10.2196/45496

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