From biobank and data silos into a data commons: convergence to support translational medicine.
Rebecca AsiimweStephanie LamSamuel LeungShanzhao WangRachel WanAnna TinkerJessica N McAlpineMichelle M M WooDavid G HuntsmanAline TalhoukPublished in: Journal of translational medicine (2021)
Proper infrastructures for data collection, sharing and governance is a translational research imperative. We have consolidated our data holdings into a data commons, along with standardized operating procedures to meet research and ethics requirements of the gynecologic cancer community in British Columbia. The developed infrastructure brings together, diverse data, computing frameworks, as well as tools and applications for managing, analyzing, and sharing data. Our data commons bridges data access gaps and barriers to precision medicine and approaches for diagnostics, treatment and prevention of gynecological cancers, by providing access to large datasets required for data-intensive science.