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

Submission information
Submission Number: 14
Submission ID: 144985
Submission UUID: 95bef776-54b2-4760-a5b5-db791c147a09

Created: Wed, 06/18/2025 - 15:06
Completed: Wed, 06/18/2025 - 15:08
Changed: Wed, 06/18/2025 - 15:08

Remote IP address: 10.208.28.250
Submitted by: Anonymous
Language: English

Is draft: No
Presenter Information
James
H
Tanis
Ph.D.
Senior Bioinformatician
Essential Software Inc
Gaithersburg, MD
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Abstract Information
Methods to enable data interoperability
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Semi-Automatic Mapping of CDEs to the C3DC Data Model
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Regularly updating the C3DC data model is crucial for its usefulness because CDEs can become outdated.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.