We are delighted to announce that the George B. Moody PhysioNet Challenges
were awarded the "Distinguished Achievement Award" for data reuse as part of the DataWorks! Prize
The DataWorks! Prize was created
in partnership between the NIH Office of Data Science Strategy and the Federation of American Societies for Experimental Biology (FASEB) to highlight the critical role of data sharing and reuse in scientific discovery while recognizing and rewarding researchers who engage in these practices.
As many of you know, George B. Moody
designed and led the Challenges from 2000 to 2015. Prof. Clifford
has led the Challenges since 2015 and has been a key contributor to its parent resource, PhysioNet (The Research Resource for Complex Physiologic Signals), for over two decades. Prof. Reyna
has co-led the PhysioNet Challenges since 2019, and has been instrumental in the development of its repeatable science standards. None of this would have been possible without the foundation of PhysioNet, and the support of Prof. Goldberger, Prof. Mark, and the rest of the PhysioNet team over the last 25 years. We are also lucky to have an enormous rotating cast of researchers who have put so much effort into the Challenges. While they are too numerous to list here, and such a list would likely be incomplete, you can find their names on the annual publications that describe each Challenge. But most importantly, the Challenges couldn't exist without the research community itself!
Prof. Clifford and Prof. Reyna submitted the PhysioNet Challenges to the DataWorks! Prize to help to recognize and support the work that all of us do for the Challenges. The Challenges would not be possible without the Challenge teams, which embrace and enhance the practices of data sharing and reuse as part of their Challenge code, publications, and presentations. We believe that the NIH and FASEB are recognizing the Challenge teams with this award. The prize will help the Challenge organizers continue to run these events into the future, and to support the Challenge teams.
Thank you for your essential contributions to this award and your continued participation in the PhysioNet Challenges. You can find out more on the DataWorks! Prize here
and the PhysioNet Challenges here
With much thanks to a wonderful community,
The PhysioNet Challenge Organizers