Title:
Creating a Data Infrastructure for R&D Workforce Analysis
Creating a Data Infrastructure for R&D Workforce Analysis
| dc.contributor.author | Baker, David | en_US |
| dc.contributor.author | Ginther, Donna | en_US |
| dc.contributor.author | Haak, Laurel L | en_US |
| dc.contributor.author | Hammond, Joel | en_US |
| dc.contributor.author | Kannankutty, Nirmala | en_US |
| dc.contributor.author | Probus, Matt | en_US |
| dc.contributor.author | Saul, Joseph | en_US |
| dc.contributor.author | Weinberg, Bruce | en_US |
| dc.contributor.corporatename | Consortia Advancing Standards in Research Administration Information | en_US |
| dc.contributor.corporatename | Discovery Logic | en_US |
| dc.contributor.corporatename | National Science Foundation (U.S.) | en_US |
| dc.contributor.corporatename | Ohio State University | en_US |
| dc.contributor.corporatename | Thomson Reuters | en_US |
| dc.contributor.corporatename | University of Kansas | en_US |
| dc.date.accessioned | 2012-02-10T19:02:32Z | |
| dc.date.available | 2012-02-10T19:02:32Z | |
| dc.date.issued | 2011-09-16 | |
| dc.description | Atlanta Conference on Science and Innovation Policy 2011 | en_US |
| dc.description.abstract | To understand how research and development leads to creation of knowledge and then to track the impact of that knowledge requires a comprehensive model of the research ecosystem that incorporates inputs, outputs, activities, and external factors, and the data to support longitudinal and network analysis. To date, most research has focused on those activities and outputs that are readily accessible, including publication output and follow-on citations, as well as patents and patent citations. While these outputs are robust and can be normalized by field of research, additional data are needed to capture important aspects of research not published in journals or patents. Moreover, efforts to assemble systematic information on researchers, including their biographic information, institutions, support, and networks, are in a fledgling stage. We propose a workshop to discuss considerations in creating a data infrastructure to support quantitative analysis of the research workforce, its outputs, and impacts. The workshop is organized around three overarching themes: data linkages, data standards, and data privacy. Each theme will be explored as a moderated conversation among panel participants with implementation expertise, providing perspectives from academic, industry, and non-profit organizations. | |
| dc.identifier.uri | http://hdl.handle.net/1853/42422 | |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.relation.ispartofseries | ACSIP11. Structure | en_US |
| dc.subject | Research and development | en_US |
| dc.subject | Common data infrastructure | en_US |
| dc.subject | Longitudinal and network analysis | en_US |
| dc.subject | Data linkages | en_US |
| dc.subject | Data privacy | en_US |
| dc.subject | Data standards | en_US |
| dc.title | Creating a Data Infrastructure for R&D Workforce Analysis | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | Ivan Allen College of Liberal Arts | |
| local.contributor.corporatename | School of Public Policy | |
| local.relation.ispartofseries | Atlanta Conference on Science and Innovation Policy | |
| relation.isOrgUnitOfPublication | b1049ff1-5166-442c-9e14-ad804b064e38 | |
| relation.isOrgUnitOfPublication | a3789037-aec2-41bb-9888-1a95104b7f8c | |
| relation.isSeriesOfPublication | 8e93dc09-10dd-4fdd-8c5a-77defb1f7f78 |
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