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AN ESSENTIAL INFRASTRUCTURE FOR OPEN SCIENCE

Selected by SCOSS for participation in its next funding cycle

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Data is critical to research and society, but we lack an understanding of how data is used to drive policy, discovery and societal benefit.

Make Data Count is an initiative that promotes the development of open data metrics to enable evaluation of data usage.

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Engage with Make Data Count through our ongoing activities.

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Find a tool to help you collect and access data usage information.

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Explore research evidence on data usage trends and practices, and resources about data metrics.

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Latest blog posts

Leveraging data citations to respond to libraries’ data evaluation needs

Date: April 28, 2025

Category: Blog

DOI: 10.60804/yxna-f837 Libraries play an important role in driving adoption of open data, and they have an increasing focus on understanding dataset usage and impact. This information is key in order for institutions to gain information about the diverse research outputs contributed by their researchers, and to inform institutional strategy...


The journey of data: Meta-researcher perspectives on data use and metrics

Date: April 14, 2025

Category: Blog Tags: CommunityData citationsMetaresearch

DOI 10.60804/ZGJX-0K93 Over the last couple of months we have talked with meta-researchers about their work on data, and their perspectives on steps needed to better understand how datasets are used and inform responsible metrics for data. These conversations have highlighted a strong interest in understanding how data practices are...


Perspectives on the challenges and opportunities for large-scale analyses on data use and data citations

Date: April 3, 2025

Category: Blog

DOI 10.60804/82EM-7E16 Views from Kai Li, Assistant Professor, School of Information Sciences, University of Tennessee Please describe your previous research project(s) that related to data use, and the main findings from that research. I was trained as a scientometrics researcher. One of my research interests is to understand how data...


"Making Data Count is a critical first step in bringing attention to the value that data scientists put into research through activities like data cleaning, data merging/collating, and other critical preparation stage work. If Making Data Count is successful, the use of the data sets that result from these efforts will translate into academic credit and help advance their career."

Chris Mentzel, Stanford University