CIF21 DIBBs: El: Continuous Capture of Metadata for Statistical Data (C2Metadata)

The C2Metadata project will develop new tools that will work with common statistical packages to automate the capture of metadata at the granularity of individual data transformations. Software-independent data transformation descriptions will be added to metadata in two internationally accepted standards, the Data Documentation Initiative (DDI) and Ecological Metadata Language (EML). These tools will create efficiencies and reduce the costs of data collection, preparation, and reuse.

Our project targets research communities with strong metadata standards and heavy reliance on statistical analysis software (social and behavioral sciences and earth observation sciences), but it is generalizable to other domains, such as biomedical research.

Principal Investigator: George Alter

ICPSR Staff:
Michael Iannaccone, Sanda Ionescu, Jared Lyle, Tom Murphy

Darrell Donakowski, Center for Political Studies, University of Michigan
Jack Gager, Metadata Technologies North America
Pascal Heus, Metadata Technologies North America
Jeremy Iverson, Colectica
Hosagrahar V Jagadish, Electrical Engineering and Computer Science, University of Michigan
Carl Lagoze, School of Information, University of Michigan
Ornul Risnes, Norwegian Centre for Research Data
Jie Song, Electrical Engineering and Computer Science, University of Michigan
Dan Smith, Colectica
Tom Smith, NORC University of Chicago