From Study Design to Data Reuse: Embedding FAIR Across the Research Lifecycle
Event Details
- Type
- Other Lectures and Symposia
- Speaker(s)
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Allissa Dillman, Ph.D., CEO and founder, BioDataSage.
- Speaker bio(s)
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Bio: Dr. Allissa Dillman, Ph.D., is the CEO and Founder of BioDataSage. She is a highly acclaimed bioinformatician and a national leader for data science workforce development, with over a decade of experience at the National Institutes of Health (NIH). In her previous role, she has been the engagement and outreach program lead for the Office of Data Science Strategy (ODSS) at NIH. Dr. Dillman is passionate about making data science and cloud computing easier for everyone. She has led several training programs, hackathons, and ‘train-the-trainer’ activities, including the lasted ‘FAIR Forward’ initiative. Through her work, she has inspired and encouraged scientists, educators, and students, especially at HBCUs, MSIs, & HSIs, to embrace FAIR principles and apply data science for health and social good
Summary: Reproducibility does not begin at publication, nor does research impact end there. This talk presents a lifecycle-based approach to FAIR and open science, emphasizing how early design decisions shape both reproducibility and long-term data reuse. We explore how FAIR principles, applied from study planning through data collection, analysis, and dissemination, all enable research outputs to have a meaningful “second life” beyond the original project. By viewing reuse as a downstream test of reproducibility, this session reframes FAIR as essential research infrastructure that supports rigor, transparency, and sustained scientific value.
- Open to
- Tri-Institutional