Make Data Count (MDC) is a scholarly change initiative, made up of researchers and open infrastructure experts, building and advocating for evidence-based open data metrics. Throughout MDC’s tenure, various areas key to the development of research data assessment metrics have been identified.

DataCite is looking for a full-stack application developer to join the DataCite development team. DataCite is a leading global non-profit organization that provides persistent identifiers (DOIs) for research. DataCite was founded in 2009 to support the research community in identifying, locating, accessing, and citing research outputs with confidence.

One year into our Sloan funded Make Data Count project, we are proud to release Version 1 of standardized data usage and citation metrics! As a community that values research data it is important for us to have a standard and fair way to compare metrics for data sharing. We know of and are involved in a variety of initiatives around data citation infrastructure and best practices; including Scholix, Crossref and DataCite Event Data.

For the past several years data citation has been an important topic in the research community. The community came together and agreed that data must be granted first-class citizenship in the practice of scholarship. Thus the community defined a set of guiding principles for data within scholarly literature. This is known as the Joint Declaration of Data Citation Principles (JDDCP)[@https://doi.org/10.25490/a97f-egyk], published in 2014.

This blog post by Daniella Lowenberg was cross-posted from the Make Data Count blog. The Make Data Count (MDC) project is moving ahead with full force and the team wanted to take a moment to update the research stakeholder community on our project resources and roadmap. In September, the MDC team sat down and mapped out the project plan for our two-year grant.

The Alfred P. Sloan Foundation has made a 2-year, $747K award to the California Digital Library, DataCite and DataONE to support collection of usage and citation metrics for data objects. Building on pilot work, this award will result in the launch of a new service that will collate and expose data level metrics.