COUNTER is a non-profit organization supported by a global community of library, publisher and vendor members, who contribute to the development of the Code of Practice through working groups and outreach. COUNTER and MDC are collaborating to develop and publish a Code of Practice for Research Data. This set of recommendations will focus on how … Continue reading COUNTER Code of Practice for Research Data
Make Data Count: Building a System to Support Recognition of Data as a First Class Research Output
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. The impact … Continue reading Make Data Count: Building a System to Support Recognition of Data as a First Class Research Output
How to engage with MDC?
Making Data Count (MDC) team members are at the center of many initiatives that focus on aspects of metrics, including DLM. We leverage existing channels to build a new data usage standard and to promote integration and adoption amongst data centers and data consumers. If you want to get in contact and start collaborating with … Continue reading How to engage with MDC?
Understanding the problem
Journal articles are the currency of scholarly research. As a result, we as a community, use sophisticated methods to gauge the impact of research and measure the attention it receives by analyzing article citations, article page views and downloads, and social media metrics. While imprecise, these metrics offer us a way to identify relationships and … Continue reading Understanding the problem
Make Data Count 