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Make Data Count

Advancing tools and practices that enable the community to meaningfully assess the use and impact of data

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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

Advancing Responsible Research Assessment Through Data Evaluation

Date: August 26, 2025

Category: Blog Tags: Data Citation Corpusdata evaluationresearch assessment

DOI: 10.60804/hcfm-jx07 This post has been cross-posted on the DORA blog. The majority of research activities involve creating, collecting, or using data. While datasets constitute the backbone of research activities, they are currently sidelined as part of research evaluation frameworks which predominantly focus on article publications. This is a missed...


The Data Citation Corpus now includes data citations from Europe PMC

Date: July 29, 2025

Category: Blog

DOI: 10.60804/drrx-4m69 The fourth release of the Data Citation Corpus incorporates data citations from Europe PMC and additions to affiliation metadata. Our latest release for the Data Citation Corpus is just out, including 5.2 million new data citations from Europe PMC, and additions to the affiliation metadata for some of...


Announcing Make Data Count’s Kaggle Competition

Date: June 11, 2025

Category: Blog

Post by Make Data Count advisors Daniella Lowenberg and Jennifer Lin DOI: 10.60804/asfb-f691 We are thrilled to announce the launch of our Kaggle competition “Make Data Count – Finding Data References”. Make Data Count (MDC) maintains an open corpus of data citations and this competition seeks state of the art...


"Make 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 Make 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