It’s been two exciting months since we released the first iteration of our data-level-metrics infrastructure.  We are energized by the interest garnered and questions we’ve received and we wanted to share a couple of highlights!

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July Webinar

Soon after launch we hosted a webinar on “How-To” make your data count. Thank you to the 100 attendees that joined us for asking such thoughtful questions. For those that could not make it, or those that would like a recap, we have made all resources available on “Resources” tab of the website. Check out the July 10th webinar recording, webinar slide deck, and a transcript of the Q&A session.

If you still have questions, we encourage you to get in touch with us directly so that we can set up a group call with our team and yours. We have found our meetings with repositories and institutions to talk through the code of practice and log processing steps have been very helpful.

Zenodo Implemented the Code of Practice

A big congratulations and a thank you goes out to the Zenodo team for their implementation of standardized data usage metrics. Our project is only successful if we have as many repositories as possible standardize their data usage metrics so that we can truly have a comparable data metrics landscape. Zenodo is a global, popular, repository that was able to follow the Code of Practice for Research Data that we authored and standardize and display their views and downloads. We are looking forward to Zenodo displaying citations and contributing their usage metrics to our open-hub.

In-Person Team Meeting

Last week members from the DataCite, DataONE, and CDL teams were able to meet for a full day of planning the next quarter of the project. Prioritizing by project component, we were able to agree on where we would like to be by RDA Botswana. In broad terms – we would like to have citations integrated into the DataCite open hub (instead of as a separate entity in Event Data), we plan to gather user feedback on valued metrics, and we would like to spend time analyzing the citation landscape and the reasons why citations not making it to the hub. Follow along at our Github here.


Our biggest goal is to get as many repositories as possible to make their data count. But beyond repositories, there is a role for all of us here:


  • If you are on a home grown platform, follow along our How-To guide. Let us know if you are implementing, and share with us your experience. The more that we can publicize repositories experiences and resources, the easier it will be for the community to adopt.
  • If you are a part of a larger platform community (fedora, dataverse, bepress), help us advocate for implementation!
  • Send your data citations through DataCite metadata. DataCite collects citation metadata as part of the DOI registration process. Enrich your metadata with links between literature (related resources) and data using the relatedIdentifier property.


  • Index your data citations with Crossref. When we first implemented MDC at our repositories we noticed that some known data citations were not appearing, and when looking in the Crossref API found that even when researchers added data citations they were in some cases stripped in the XML. When depositing article metadata, please ensure data citations are included as references (in the case of DataCite DOIs) or as relationships (in the case of other PIDs).

Funders, Librarians, and other Scholarly Communications Stakeholders:

  • Help us advocate for the implementation of data level metrics! Catch us at 5AM Conference, ICSTI, FORCE2018, or at RDA Botswana/International Data Week to learn more about our project and better equip yourself as an advocate.

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