Thursday, February 1, 2024
In early 2023, ODSS partnered with the Federation of American Societies for Experimental Biology (FASEB) to launch the second annual DataWorks! Prize to highlight examples of innovative data sharing and reuse.
This year, 39 teams registered for the challenge to demonstrate their accomplishments. The 218 team members came from a wide variety of disciplines, including biochemistry, clinical research, genomics, immunology, molecular biology, neuroscience, and more.
Representatives from the grand prize-winning team will present at the Data Sharing and Reuse Seminar series on Friday, Feb. 9, 2024.
Grand Prize $100,000
CCC19
COVID-19 and Cancer: Catalyzing Collaboration
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
IPop CATS
GeoPIPE: Reusing Open Data and Letting Data Flow
GeoPipe is pipeline for enriching open data streams with geospatial analyses and natural language processing.
Maryellen Giger’s Team
Sharable Curated, Diverse Medical Images at Scale
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
ASAP Discovery Consortium
An Open Pipeline for Antiviral Drug Discovery
To nucleate a global antiviral pipeline to prevent future pandemics, we created a new model for open science accelerated drug discovery.
Karen Yook’s Team
Making Data Useable While Publishing
microPublication Biology re-architects the publishing workflow by including curators to alleviate numerous obstacles in data reusability.
StrokeFAIR
StrokeFAIR: A Public Dataset and Analytical Tools
StrokeFAIR shares FAIR images, metadata, and analytical tools for acute brain stroke, democratizing avenues to perform reproducible reliable research.
Significant Achievement Award $12,500
Caltech Library
Naming Data Files Descriptively for Easier Reuse
A worksheet for creating file naming conventions to label research data descriptively and consistently.