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Guidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD)
BACKGROUND: 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 the op...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681114/ https://www.ncbi.nlm.nih.gov/pubmed/33244417 http://dx.doi.org/10.1017/cts.2020.24 |