NCI Data Jamboree (Project Abstract Submission): Submission #42
Submission information
Submission Number: 42
Submission ID: 189078
Submission UUID: 04c6bd48-3aa1-43f4-9b43-eb6a839dd7be
Submission URI: /nci/datajamboree/abstractsubmission
Submission Update: /nci/datajamboree/abstractsubmission?token=pcb-gBNOJDHv2CgR-fDAv1wzactxF_JoQapHcPyPVKY
Created: Mon, 07/27/2026 - 10:18
Completed: Mon, 07/27/2026 - 10:18
Changed: Mon, 07/27/2026 - 10:18
Remote IP address: 10.208.28.116
Submitted by: Anonymous
Language: English
Is draft: No
Webform: NCI Data Jamboree (Abstracts)
Submitted to: NCI Data Jamboree (Project Abstract Submission)
Presenter Information
Nadia
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Howlader
Ph.D.
Director, Real World Evidence Oncology
Boehringer Ingelheim
Ridgefield, Connecticut, USA
Additional Authors
Abstract Information
Developing tutorials, workbooks, infographics, or creative use of data for educational and engagement purposes
Reproducibility, AI Readiness, Real-World Evidence, Epidemiology, Electronic Health Records
Assessing Real-World Data Quality for Reproducible Research and AI Readiness
I am an epidemiologist with expertise in real-world evidence, oncology research, and the analysis of large healthcare datasets including electronic health records, claims, and cancer registries. I am interested in participating in this project to help evaluate data quality dimensions that support reproducible research and trustworthy AI applications. Through the jamboree, I hope to collaborate with multidisciplinary experts to develop practical approaches for assessing data completeness, consistency, and fitness for purpose, while advancing best practices for AI-ready healthcare data.