Sharing data is time consuming and researchers need incentives for undertaking the extra work. Metrics for data can provide feedback on data usage, views, and impact that can help encourage researchers to share their data. This Working Group will explore and test the metrics needed to capture activity surrounding research data.
This Working Group's participants propose to design and develop metrics that track and measure data use, “data-level metrics” (DLM). DLM are a multi-dimensional suite of indicators, measuring the broad range of activity surrounding the reach and use of data as a research output. The team will investigate the validity and feasibility of the metrics by collecting them and investigating how to best make use of the data harvested to power discovery and reporting of these scholarly outputs.
The DLM pilot will build from the successful open source Article-Level Metrics (ALM) community project, Lagotto, originally started by PLOS in 2009. ALM provides a view into the activity surrounding an article, after publication, across a broad spectrum of ways in which research is disseminated and used (e.g., viewed, shared, discussed, cited, and recommended, etc.)
Along with NCEAS, this Working Group's project partners are:
- PLOS (Public Library of Science), a nonprofit publisher and advocacy organization accelerating progress in science and medicine.
- DataONE (Data Observation Network for Earth), a NSF DataNet project developing a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to Earth observational data.
- CDL (California Digital Library) and the University of California Curation Center, a creative partnership bringing together the expertise and resources of the University of California.