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
Submission URI: /nci/ods-data-jamboree/abstractsubmissions
Submission Update: /nci/ods-data-jamboree/abstractsubmissions?token=YT0-w0d4t2cmCtVlE5rdG-mKm4Ou4Nn9S3waI9tl77k
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
| 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 |
| james.tanis@nih.gov | |
| Other (Please Specify) | |
| Abstract Category | Methods to enable data interoperability |
| Abstract Keywords | |
| 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and AI applications Regularly updating the C3DC data model is crucial for its usefulness because CDEs can become outdated.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 |
CDE_C3DC_Abstract.docx16.75 KB
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