Quality assessment of real-world data repositories across the data life cycle: A literature review.
Data quality (DQ) must be consistently defined in context. The attributes, metadata, and context of longitudinal real-world data (RWD) have not been formalized for quality improvement across the data production and curation life cycle. We sought to complete a literature review on DQ assessment frameworks, indicators and tools for research, public health, service, and quality improvement across the data life cycle.
Author(s): Liaw, Siaw-Teng, Guo, Jason Guan Nan, Ansari, Sameera, Jonnagaddala, Jitendra, Godinho, Myron Anthony, Borelli, Alder Jose, de Lusignan, Simon, Capurro, Daniel, Liyanage, Harshana, Bhattal, Navreet, Bennett, Vicki, Chan, Jaclyn, Kahn, Michael G
DOI: 10.1093/jamia/ocaa340