Category: Events
Research Assessment Reform Movements in the Same Room
Date: May 13, 2026
DOI: 10.60804/5Y5X-M612 Make Data Count will be part of a pre-conference event focused on advancing research assessment reform across the Asia-Pacific region. The framing is ambitious but necessary: how do we move toward systems that better reflect the full range of scholarly contributions, while avoiding the unintended consequences that have...
Data as Scholarship: A Conversation at FORCE2026
Date: May 7, 2026
DOI: 10.60804/2PEK-XM77 By John Chodacki and Kristi Holmes For all the progress around open science, one thing remains stubbornly unresolved: research data is still rarely treated as a first-class scholarly output for tracking and reporting. This limits our ability to reward data contributions in tenure and promotion processes, and it...
‘Policies that make data count’: data evaluation in funder and policy-making processes
Date: December 10, 2024
Blog post by Iratxe Puebla and Maria Alejandra Tejada Gómez. DOI: 10.60804/zb5q-qy55 The Make Data Count Summit last September brought together researchers, infrastructure providers and representatives across institutions, funding and policy areas to discuss data metrics and the responsible evaluation of data usage. Policy makers and funding agencies play a...
Join us for the Make Data Count Summit 2024
Date: May 21, 2024
Make Data Count is pleased to announce the Make Data Count Summit 2024, a two-day meeting dedicated to responsible data metrics and the evaluation of open data usage and impact.
DataCite launches first release of the Data Citation Corpus
Date: January 30, 2024
First-of-its-kind aggregation brings together millions of data citations to advance understanding of data usage
Make Data Count Summit: The Time Is Now to Advance Data Metrics
Date: September 28, 2023
This post has been cross-posted on the DataCite blog. https://doi.org/10.5438/fz2h-4092 A critical piece of open data infrastructure that has received insufficient attention is the evaluation of data usage. We still lack a clear understanding and a body of evidence on how data are being accessed, utilized, and incorporated into research...