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[Data standard and data sharing in clinical cohort studies].
Yue, H X; Zhan, Y L; Bian, F; Zhang, Y F; Gui, L T; Shi, Y J; Meng, Y H; Zhang, J; Jiang, Y.
Afiliación
  • Yue HX; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Zhan YL; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Bian F; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Zhang YF; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Gui LT; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Shi YJ; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Meng YH; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Zhang J; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
  • Jiang Y; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 42(7): 1299-1305, 2021 Jul 10.
Article en Zh | MEDLINE | ID: mdl-34814547
Data standard plays an important role in the process of data collection, Integration and sharing in clinical cohort studies, and more attention have been paid to it. This paper summarizes the 5 international proven data standard model, analyze their characteristics and development status, and match their data modules with the general data set of the clinical cohorts to evaluate the international data standard models' applicability and provide reference for the development and improvement of the data standard model for clinical cohort studies in China.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Difusión de la Información Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Difusión de la Información Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: China