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Measuring the Impact of Curatorial Actions

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

  1. Understand how to responsibly allocate resources to data archiving
  2. Articulate data archiving policies that efficiently and effectively achieve funders’ and journals’ innovation and transparency goals