Make Data Count (MDC) Publishes Code of Practice for Research Data Usage Metrics (Release 1)
Kicking off Love Data Week 2018, the Make Data Count (MDC) team is pleased to announce that the first iteration of our Code of Practice for Research Data Usage Metrics Release 1 has now been posted as a preprint.
Beginning in June, members from the MDC team and COUNTER began conversations around what a standard for data usage metrics may look like. By September we were able to release an initial draft outline for community feedback.
Comments from the community and further drafting spurred discussions around how data are different than articles and where the code of practice for data needed to deviate from the COUNTER Code of Practice Release 5.
This Code of Practice will act as the framework for the MDC project goals of having comparable data usage metrics across the repository landscape. As we begin to implement this standard in our own (CDL and DataONE) data repositories we will be adapting the Code of Practice based on our experiences.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.