Make Data Count is a global, community-led initiative focused on the development of open research data assessment metrics. The principles of our social and technical infrastructure are rooted in transparency and accessibility. Our goals are to drive a community of practice around open, normalized data usage and data citation as initial steps towards the development of evidence based research data assessment metrics.

We are a community-run initiative advised by:

  • Matthew Buys, DataCite
  • John Chodacki, California Digital Library
  • Britta Dreyer, DataCite
  • Scott Edmunds, GigaScience
  • Kristian Garza, DataCite
  • Maria Gould, California Digital Library
  • Kristi Holmes, Northwestern University
  • Jennifer Lin, Independent
  • Jose Benito Gonzales Lopez, CERN
  • Daniella Lowenberg, California Digital Library
  • Chris Mentzel, Stanford University
  • Damian Pattinson, eLife
  • Iratxe Puebla, ASAPBio
  • Carly Strasser, Chan Zuckerberg Initiative
  • Jamie Wittenberg, University of Colorado Boulder

We thank the following organizations for their support:

  • National Science Foundation
  • Gordon and Betty Moore Foundation
  • Alfred P. Sloan Foundation Award 
  • Wellcome Trust