In 2014, members from PLOS (Jennifer Lin, Martin Fenner), California Digital Library (Carly Strasser, John Kratz, Trisha Cruse), and DataONE (Amber Budden, Matt Jones, Dave Viegas) received an NSF EAGER research grant entitled, Making Data Count: Developing a Data Metrics Pilot. That effort surveyed scholars and publishers and determined which metrics and approaches would offer the most value to the research community. The Making Data Count team spent one-year researching the priorities of the community and exploring how ideas common to article level metrics (ALM) could be translated to conventions in data level metrics (DLM) and building a prototype DLM service. They determined that the community values data citation, data usage, and data download statistics more than they value the metrics focused on social media. Based on this research, our current Make Data Count project partners (California Digital Library, DataCite, DataONE) went a step further and isolated the gaps in existing data metrics efforts: a) there are no community-driven standards for data usage stats; b) no open source tools for data centers to collect usage stats according to standards; c) and no central place to store, index and access data usage stats, together with other DLM, in particular data citations. Our current project aims to fulfill these gaps.
Making Data Count: Developing a Data Metrics Pilot. NSF Grant No. 1448821 http://www.nsf.gov/awardsearch/showAward?AWD_ID=1448821
Kratz, John; Strasser, Carly (2015), Making Data Count survey responses, Dataset, https://dx.doi.org/10.5060/D8H59D
Kratz, John; Jones, Matt; Lin, Jennifer; Fenner, Martin (2015): Make Data Count – April 2015 Progress Update. figshare. https://dx.doi.org/10.6084/m9.figshare.1393402.v2