NCI Data Jamboree (Project Abstract Submission): Submission #42

Presenter Information
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First Name: Nadia
Middle Initial: {Empty}
Last Name: Howlader
Degree(s): Ph.D.
Position/Title/Career Status: Director, Real World Evidence Oncology
Organization: Boehringer Ingelheim
Organization Address:
Ridgefield, Connecticut, USA

Email: nadia.howlader@boehringer-ingelheim.com

Additional Authors
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List of Additional Authors:
- First Name: Nadia
  Last Name: Howlader
  Affiliation: Director, Real World Evidence, Boehringer Ingelheim


Abstract Information
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Abstract Category: Developing tutorials, workbooks, infographics, or creative use of data for educational and engagement purposes
Abstract Keywords: Reproducibility, AI Readiness, Real-World Evidence, Epidemiology, Electronic Health Records
Abstract Title: Assessing Real-World Data Quality for Reproducible Research and AI Readiness
Abstract:
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.