What is the focus of Make Data Count?  

Make Data Count stands as a pivotal initiative in the data landscape, driving forward the conversation on research data’s value and impact. Through ongoing development, strategic partnerships, and community engagement, Make Data Count continues to advocate for the importance of data metrics in research assessment and to foster a culture of data sharing and recognition. For more information visit the About us page on this website.

Who runs Make Data Count?  

Make Data Count is managed by a dedicated team, guided by the Make Data Count Director, a Sustainability Committee, and an Advisory Group, comprising members from various sectors including academia, publishing, and funding organizations. This collaborative effort is aimed at promoting and developing standards for data metrics. Learn more about Make Data Count’s governance structure on our website.

How is Make Data Count funded?  

Make Data Count’s funding model is diverse, encompassing grants from philanthropic organizations, in-kind support from our current fiscal home institution, DataCite, and contributions from community partners. This funding supports the development of Make Data Count standards, tools, and community engagement activities.

What is the relationship between Make Data Count and DataCite?

DataCite has been a consistent collaborator within the Make Data Count community for many years. Currently, DataCite serves as the fiscal home of Make Data Count. Within this remit, Make Data Count’s financial activities are administered by the DataCite accounting team on behalf of Make Data Count. DataCite is responsible for holding all shared Make Data Count funds. Financial reports are shared with the Make Data Count Sustainability Committee and made available to the broader community. In addition, DataCite has also led technical development efforts related to the Usage Tracker tool and the Data Citation Corpus

Does Make Data Count have a roadmap?  

Yes, Make Data Count maintains a roadmap outlining its strategic priorities, including the development of new approaches to open data metrics, community engagement initiatives, and infrastructure enhancements. The roadmap is available on our website for public view and feedback.

How much does it cost to use Make Data Count?  

Make Data Count’s tools, standards, and resources are freely available to the community. There is no charge to access and utilize Make Data Count’s resources.

Can I sign up to join Make Data Count?  

While Make Data Count is not a membership-based initiative, we welcome collaboration and participation from all interested stakeholders. You can engage with Make Data Count by contributing to resource development, participating in community discussions, or implementing Make Data Count standards in your platform.

Where can I find more information about Make Data Count and its initiatives?  

For more detailed information about Make Data Count, including our mission, governance, metrics, and how to get involved, please visit the Make Data Count website. You’ll find resources, documentation, and the latest news about our initiatives and the broader impact of open data metrics.

Make Data Count and Data Metrics

What is meant by “data metrics”?

Data metrics are contextualized quantitative or qualitative measures of how open datasets are accessed or utilized. This includes normalized counts of views and downloads, data citations (i.e. structured references to data as part of a scholarly work), and other measures of data usage.

Is my repository in scope for Make Data Count?  

Our primary focus is on establishing standards and practices that can be applied broadly across datasets and repositories to foster a consistent approach to data metrics. Our activities are relevant to any data repository or platform interested in measuring and enhancing the visibility and impact of research data. This includes university repositories, subject-specific data centers, systems for managing administrative data, and other data sharing platforms.

How does Make Data Count handle data metrics across different repositories?  

Make Data Count provides guidelines and tools that can be adopted by various repositories to standardize the collection and reporting of data usage metrics, enabling cross-repository comparisons and aggregations. Make Data Count developed the COUNTER Code of Practice for Research Data, a standard designed to be transparent, interoperable, and meaningful to various stakeholders in the research ecosystem. Make Data Count also recommends the implementation of the DataCite Usage Tracker, which enables a simplified implementation for collecting and reporting data usage counts consistently across platforms.

Make Data Count and Other Initiatives

What makes Make Data Count different from other data initiatives?  

Make Data Count is distinguished by its focus on community-driven standards, its commitment to open and transparent metrics, and its active collaboration with stakeholders across the research data landscape to ensure broad adoption and impact.

Is Make Data Count affiliated with any specific data repositories or platforms?  

No, Make Data Count is not affiliated with any specific data platform. Our mandate is to collaborate with a wide range of data repositories, publishers, and other platforms to promote the adoption of standardized data metrics. While Make Data Count has its fiscal home at DataCite, we are led by the Make Data Count Director and are guided by our Sustainability Committee and Advisory Group, made up of members of the wider data community. 

Is Make Data Count integrated with DOI systems?  

Make Data Count advocates for the integration of data metrics with existing infrastructures, such as DOI systems, to enhance the visibility and credit for data sharing. However, Make Data Count is not dependent on any specific persistent identifier (PID) and promotes the usage of a variety of PID infrastructures and metadata schemas.

Using Make Data Count

Who is integrating Make Data Count metrics?  

A growing number of data repositories, publishers, and research institutions are adopting Make Data Count metrics to track and showcase the impact of research data. Integrators include Dryad, Figshare, and Zenodo.

How do I integrate Make Data Count metrics in my system?  

Make Data Count provides guidelines and tools to facilitate the integration of data metrics into data repositories and platforms. For detailed instructions and support, refer to the guidelines for data citation and data usage or contact the Make Data Count team.

How should Make Data Count metrics be displayed?  

Make Data Count metrics should be displayed in a way that is clear and meaningful to researchers and other stakeholders, providing insight into the use and impact of research data. Guidelines for the display of Make Data Count metrics are under development.