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What is the value of sharing research data? How does curation impact data discovery and reuse?
MICA, or “Measuring and Improving the Efficacy of Curation Activities in Data Archives” is a three-year National Digital Infrastructures and Initiatives project led by investigators at the University of Michigan School of Information in partnership with the Inter-university Consortium for Political and Social Research. This project studies how curatorial actions impact the use of digital collections by: 1) identifying curatorial actions; 2) measuring the impacts of curation; and 3) developing curatorial metrics.
Goals
- Understand how to responsibly allocate resources to data archiving
- Articulate data archiving policies that efficiently and effectively achieve funders’ and journals’ innovation and transparency goals