NCI Office of Data Sharing (ODS) Data Jamboree (Abstract Submissions): Submission #14

Presenter Information
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First Name: James









Middle Initial: H









Last Name: Tanis









Degree(s): Ph.D.









Position/Title/Career Status: Senior Bioinformatician









Organization: Essential Software Inc









Organization Address:
Gaithersburg, MD










Email: james.tanis@nih.gov









Other (Please Specify): {Empty}













Abstract Information
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Abstract Category: Methods to enable data interoperability









Abstract Keywords: {Empty}









Abstract Title: Semi-Automatic Mapping of CDEs to the C3DC Data Model









Abstract Summary:
Attributing the data model of the Cancer Clinical Data Commons (C3DC) with Common Data Elements (CDEs) provides significant value.  It enables 
•	Standardization and interoperability
•	Enhanced data quality and reproducibility
•	Improved efficiency and cost-effectiveness
•	Facilitates data sharing and collaboration
•	Supports advanced analytics and AI applications
Regularly updating the C3DC data model is crucial for its usefulness because CDEs can become outdated.  Due to its time-consuming nature, manually reviewing the multitude of data elements and CDEs required for this update is a challenge.  To significantly reduce human effort, we propose to develop a LLM tool to automatically match CDEs to C3DC data elements.  Humans will only verify the tool’s suggestions in the final step.  










Upload Abstract: https://events.cancer.gov/sites/default/files/webform/nci_office_of_data_sharing_abstr/144985/CDE_C3DC_Abstract.docx