The Make Data Count (MDC) project is funded by the Alfred P. Sloan Foundation to develop and deploy the social and technical infrastructure necessary to elevate data to a first-class research output alongside more traditional products, such as publications. It will run between May 2017 and April 2019.
The project will address the significant social as well as technical barriers to widespread incorporation of data-level metrics in the research data management ecosystem through consultation, recommendation, new technical capability, and community outreach. Project work will build upon long-standing partner initiatives supporting research data management and DLM, leverage prior Sloan investments in key technologies such as Lagotto, and enlist the cooperation of the research, library, funder, and publishing stakeholder communities.
The newly integrated data sources and clients will serve as exemplars for future data repository and discovery platform integration in a robust DLM ecosystem supportive of increased levels of adoption and awareness of research data management best practices.
The project has four main objectives:
- to publish a new COUNTER code of practice regarding how data usage and impact should be meaningfully measured and reported;
- to deploy a data-level metrics (DLM) aggregation and publication service based on the open-source Lagotto software and hosted by DataCite;
- to integrate the DLM service with new exemplar data sources and clients; and
- to perform advocacy and training regarding the importance and use of DLM to develop engaged communities of practice and support.
- Stephen Abrams, California Digital Library
- Amber Budden, DataONE
- John Chodacki, California Digital Library
- Trisha Cruse, DataCite
- Martin Fenner, DataCite
- Kristian Garza, DataCite
- Matt Jones, DataONE
- Daniella Lowenberg, California Digital Library
- Laura Rueda, DataCite
- Dave Viegas, DataONE