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Making data count together

Make Data Count Summit 2024
The Make Data Count Summit 2024 took place in London earlier this month.

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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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Get involved

Engage with Make Data Count through our ongoing activities.

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Find a tool

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

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Explore resources

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

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Support us

Make Data Count participates SCOSS (the Global Sustainability Coalition for Open Science Services). Learn how you can help fund us.

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Latest blog posts

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Date: October 3, 2024

Category: Blog Tags: Data Citation CorpusData citationsOutreach

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Evaluation, context and getting practical on data metrics: the Make Data Count Summit 2024

Date: September 17, 2024

Category: News

The Make Data Count Summit 2024 took place in London earlier this month. Over two days, we explored what areas of research infrastructure, practices, evidence and evaluation we need to focus on to advance data metrics and our understanding of the reach and impact of open data. Each session covered...


Welcoming Clare Dean as Communications Consultant for Make Data Count

Date: July 5, 2024

Category: News Tags: OutreachStaffTeam

This week we are thrilled to welcome Clare Dean as Communications Consultant for Make Data Count. In this role, Clare will be supporting Make Data Count’s outreach and community engagement activities. Clare brings a wealth of experience working with organizations in scholarly communications and open science initiatives, but best to let her tell you about it. Here’s a brief introduction to Clare, in her own words. Welcome Clare!


"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