Guidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD)

Guidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD)

AbstractBackground:High-quality data are critical to the entire scientific enterprise, yet the complexity and effort involved in data curation are vastly under-appreciated. This is especially true for large observational, clinical studies because of the amount of multimodal data that is captured and...

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Bibliographic Details
Main Authors: Ari Ercole, Vibeke Brinck, Pradeep George, Ramona Hicks, Jilske Huijben, Michael Jarrett, Mary Vassar, Lindsay Wilson
Format: Article
Language:English
Published: Cambridge University Press 2020-08-01
Series:Journal of Clinical and Translational Science
Subjects:
Data quality
curation
observational studies
Delphi process
design
reporting
Online Access:https://www.cambridge.org/core/product/identifier/S2059866120000242/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2059866120000242/type/journal_article

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