Delivering on NIH data sharing requirements: avoiding Open Data in Appearance Only.

Watson, Hope; Gallifant, Jack; Lai, Yuan; Radunsky, Alexander P; Villanueva, Cleva; Martinez, Nicole; Gichoya, Judy; Huynh, Uyen Kim; Celi, Leo Anthony

Watson, Hope; Gallifant, Jack; Lai, Yuan; Radunsky, Alexander P; Villanueva, Cleva; Martinez, Nicole; Gichoya, Judy; Huynh, Uyen Kim; Celi, Leo Anthony.

Afiliación

Watson H; DBT Labs, Boston, Massachusetts, USA.
Gallifant J; Department of Critical Care, Guy's and St Thomas' Hospitals NHS Trust, London, UK jack.gallifant@nhs.net.
Lai Y; Department of Urban Planning and Design, Tsinghua University, Beijing, China.
Radunsky AP; New York University Marron Institute of Urban Management, New York, New York, USA.
Villanueva C; University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Martinez N; Southern Methodist University, Dallas, Texas, USA.
Gichoya J; Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
Huynh UK; Department of Medicine, Instituto Politécnico Nacional, Ciudad de Mexico, Mexico.
Celi LA; Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California, USA.

BMJ Health Care Inform ; 30(1)2023 Jun.

Article en En | MEDLINE | ID: mdl-37344002

Asunto(s)

COVID-19; Humanos; Estados Unidos; Pandemias; Reproducibilidad de los Resultados; National Institutes of Health (U.S.); Difusión de la Información/métodos

Palabras clave

Data Science; Health information exchange

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Guideline Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: BMJ Health Care Inform Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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