DataWorks! Prize Past Winners

2023 DataWorks! Prize Winners

In June 2024, FASEB and the NIH Office of Data Science Strategy hosted the second annual DataWorks! Prize Symposium. The event featured seven speakers from the award-winning projects below who shared their exemplary work in advancing human health through data sharing and reuse. Watch the recordings here

Grand Prize $100,000



Distinguished Achievement Award $50,000



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


2022 DataWorks! Prize Winners

In April 2023, FASEB and the NIH Office of Data Science Strategy hosted the DataWorks! Prize Symposium. Learn about data sharing and reuse best practices from the finalists by viewing symposium Day 1 and Day 2 video recordings.

Grand Prize $100,000

  • Team: BrainChart
    Project: Brain Charts for the Human Lifespan
    Description: The BrainChart team combined MRI data from over 100,000 people to create and share growth charts of the human brain across the lifespan.


  • Team: National Covid Cohort Collaborative
    Project: Democratizing Access to Clinical Data
    Description: The National Covid Cohort Collaborative (N3C) is a diverse multidisciplinary community dedicated to collaborative analytics at scale.




Distinguished Achievement Award $50,000

  • Team: Monarch Initiative
    Project: Using All Organisms for Diagnostics and Discovery
    Description: The Monarch Initiative is an integrative data and analytics platform connecting phenotypes to genotypes across species, bridging basic and applied research with semantics.




  • Team: The GenomeArk
    Project: The GenomeArk: High-quality Reference Genomes
    Description: The GenomeArk is the Vertebrate Genomes Project’s open-access repository of high-quality genome assembly data for the scientific community.




Achievement Award $25,000

  • Team: Allen Institute for Brain Science
    Project: The Cell Type Knowledge Explorer
    Description: The Cell Type Knowledge Explorer is a publicly accessible atlas for navigating multimodal cell type data of the mammalian brain.




Achievement Award $12,500

  • Team: Krishnan Lab
    Project: Removing Metadata Barriers to Promote Data Reuse
    Description: The Krishnan Lab develops methods that address unstructured metadata and missing metadata that are barriers to discovering and reusing public omics data.


  • Team: MIT Critical Data
    Project: Improving Health Research Diversity with MIMIC (updated title)
    Description: MIT Critical Data builds communities across disciplines to derive knowledge from health records to understand health and disease better.


  • Team: Vascular Model Repository
    Project: The Vascular Model Repository Open-data Model
    Description: The Vascular Model Repository is a dataset of cardiovascular models fostering advances in computational mechanics and AI research.




People's Choice Awards

  • Team: The GenomeArk
    Project: The GenomeArk: High-quality Reference Genomes
    Description: The GenomeArk is the Vertebrate Genomes Project’s open-access repository of high-quality genome assembly data for the scientific community. 
  • Team: VEuPathDB
    Project: VEuPathDB: New Discoveries Through Data Reuse
    Description: VEuPathDB makes data reusable and accessible to scientists through streamlined integration pipelines and a powerful search strategy system.