Support Our Colleagues in the NIH DataWorks Challenge!

Dec. 6, 2022

Congratulations to our colleagues who have been selected as finalists for the National Institutes of Health DataWorks Challenge!

Please support one of these teams working to share and reuse data in research and scientific discovery (The link will take you directly to the page to submit a vote). Voting is open until December 21, 2022.  Unfortunately, you may only vote for one team, but they can both be awarded prizes.  Please share and promote awareness to increase our colleagues’ chances!

MIT Critical Data
https://www.herox.com/dataworks/round/2457/entry/41104

MIT Critical Data builds communities across disciplines to derive knowledge from health records to understand health and disease better. Help them continue to build valuable research resources such as MIMIC  and freely accessible educational resources.

PhysioNet Challenges
https://www.herox.com/dataworks/round/2457/entry/41376

The PhysioNet Challenges are annual data science competitions that ask what we can learn from data to improve health and healthcare. Help the team draw out unrealized value from data and advance data reuse and algorithm development.

Background

The Federation of American Societies for Experimental Biology (FASEB) and the National Institutes of Health (NIH) are championing a bold vision of data sharing and reuse. The 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 future of biological and biomedical research hinges on researchers’ ability to share and reuse data. Sharing and reuse had a sizable, catalytic impact on the development of COVID-19 vaccines and treatment protocols. The DataWorks! Prize is an opportunity for the research community to share their stories about the practices, big and small, that lead to scientific discovery.

Read more: https://www.herox.com/dataworks