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

serial: '42'
sid: '189078'
uuid: 04c6bd48-3aa1-43f4-9b43-eb6a839dd7be
uri: /nci/datajamboree/abstractsubmission
created: '1785161903'
completed: '1785161903'
changed: '1785161903'
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data:
  list_of_additional_authors:
    - add_author_letters: ''
      affiliation: 'Director, Real World Evidence, Boehringer Ingelheim'
      first_name: Nadia
      last_name: Howlader
  category: 'Developing tutorials, workbooks, infographics, or creative use of data for educational and engagement purposes'
  degree_s_: Ph.D.
  email: nadia.howlader@boehringer-ingelheim.com
  first_name: Nadia
  keywords_abstracts: 'Reproducibility, AI Readiness, Real-World Evidence, Epidemiology, Electronic Health Records'
  last_name: Howlader
  middle_initial: ''
  organization: 'Boehringer Ingelheim'
  organization_address:
    address: ''
    address_2: ''
    city: 'Ridgefield, Connecticut, USA'
    country: ''
    postal_code: ''
    state_province: ''
  summary: '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.'
  title: 'Director, Real World Evidence Oncology'
  ttile: 'Assessing Real-World Data Quality for Reproducible Research and AI Readiness'