One particular objective of the Cancer MoonshotSM Initiative is to produce a Nationwide Cancer Facts Ecosystem to collect, share, and interconnect a wide array of big datasets so that researchers, clinicians, and patients will be ready to the two contribute and review data, facilitating discovery that will ultimately enhance affected individual treatment and outcomes.
As part of this endeavor, the Cancer Analysis Facts Commons (CRDC) aims to collate data throughout various groups of most cancers researchers, every single amassing biomedical data in different formats. This usually means the data need to be retrospectively harmonized and reworked to allow this data to be submitted. In addition, to be findable by the broader scientific local community, coherent information (metadata) is necessary about the data fields and values.
Using structured biomedical data data files, obstacle contributors will acquire instruments to automate annotation of metadata fields and values, utilizing readily available investigation data annotations (e.g., caDSR Widespread Facts Things (CDEs)) as effectively as recognized terminologies and ontologies (e.g., NCI Thesaurus (NCIt), Logical Observation Identifiers Names and Codes (LOINC), Mondo Condition Ontology (Mondo), International Classification of Ailments (ICD)).
The Competitor aims to significantly reduced the load of introducing these annotations throughout the data ecosystem to streamline and allow the two retrospective harmonization as effectively as data query, discovery, and interpretation. This obstacle addresses this time-consuming endeavor with automated metadata annotation of structured data.
Submission to this Challenge need to be obtained by 5:00 pm PT April 24, 2020.