About DataWorks! Prize
FASEB and the National Institutes of Health (NIH) are championing a bold vision of data sharing and reuse. DataWorks! Prize fuels this vision with an annual challenge that showcases the benefits of research data management while recognizing and rewarding teams whose research demonstrates the power of data sharing or reuse practices to advance scientific discovery and human health. The program seeks new and innovative approaches to data sharing and reuse in biological and biomedical research.
The prize was open to anyone aged 18 or older that is an U.S. citizens or permanent resident. International researchers were able to participate on a team with a U.S. team lead.
To incentivize effective practices and increase community engagement around data sharing and reuse, NIH recognized seven winning teams with a cash prize and winners will share their stories in a DataWorks! Prize symposium. View the 2022 winning research teams.
Submissions are closed for the 2023 DataWorks! Prize and will re-open for 2024 in May.
2023 DataWorks! Prize Winners
Grand Prize $100,000
- Team: CCC19
Project: COVID-19 and Cancer: Catalyzing Collaboration
Description: The COVID-19 and Cancer Consortium (CCC19) is a collaboration that collects data about patients with cancer who have been diagnosed with COVID-19.
Distinguished Achievement Award $50,000
- Team: IPop CATS
Project: GeoPIPE: Reusing Open Data and Letting Data Flow
Description: GeoPipe is pipeline for enriching open data streams with geospatial analyses and natural language processing.
- Team: Maryellen Giger’s Team
Project: Sharable Curated, Diverse Medical Images at Scale
Description: MIDRC is a collaboration to create an open curated, diverse commons for medical imaging AI research and a sequestered one for translation.
Exemplary Achievement Award $25,000
- Team: ASAP Discovery Consortium
Project: An Open Pipeline for Antiviral Drug Discovery
Description: To nucleate a global antiviral pipeline to prevent future pandemics, we created a new model for open science accelerated drug discovery.
- Team: Karen Yook’s Team
Project: Making Data Useable While Publishing
Description: microPublication Biology re-architects the publishing workflow by including curators to alleviate numerous obstacles in data reusability.
- Team: StrokeFAIR
Project: StrokeFAIR: A Public Dataset and Analytical Tools
Description: StrokeFAIR shares FAIR images, metadata, and analytical tools for acute brain stroke, democratizing avenues to perform reproducible reliable research.
Significant Achievement Award $12,500
- Team: Caltech Library
Project: Naming Data Files Descriptively for Easier Reuse
Description: A worksheet for creating file naming conventions to label research data descriptively and consistently.