Monday, April 21
Grant Miller: Managerial Incentives in Public Service Delivery
a PSC Research Project
Investigators: George C. Alter, Mary Katherine Vardigan, Vincent L. Hutchings
Metadata Portal for the Social Sciences This is a pilot project to provide enhanced access to two seminal social science data resources -- the American National Election Studies (ANES) and General Social Survey (GSS) -- by creating structured, machine-actionable metadata and a portal populated with new tools for data discovery and analysis. The project will also analyze the current workflows that produce the ANES and GSS data and make recommendations for transitioning to metadata-driven processes to streamline data production and guard against the metadata loss that currently occurs. A team including representatives from the ANES, GSS, and ICPSR will develop rich metadata in Data Documentation Initiative (DDI) XML, a well-defined standard for the social sciences. This work will entail retrofitting all existing documentation, which currently exists in disparate formats, to a uniform XML structure. A sample of the ANES and GSS documentation will be enriched with detailed information on provenance, universe, and other contextual information that accumulates across the data lifecycle. This sample will also include information to facilitate comparison and harmonization. All documentation created for the project will be freely available. The Metadata Portal for the Social Sciences will demonstrate DDI-based open-source tools for advanced searching, dynamic codebooks, question banks, harmonization, and other functions. The portal will also feature links to bibliographic citations for both surveys and will provide opportunities for researchers and others to comment and interact. An important aspect of the project will be to re-envision the workflows currently used to produce the ANES and the GSS and to lay the groundwork for new metadata-driven workflows to realize a more seamless interview-to-internet process based on DDI and the Generic Statistical Business Process Model (GSBPM).
|Funding:||National Science Foundation (SES 1229957)|
Funding Period: 09/15/2012 to 08/31/2014
Country of Focus: USA