University of Illinois Urbana-Champaign

The Data Conservancy: A Model for Research Libraries in the Age of e-Science

Palmer, Carole

Content Files
palmer.mp3
palmer.ppt

Permalink

https://hdl.handle.net/2142/30001

Description

Title
The Data Conservancy: A Model for Research Libraries in the Age of e-Science
Author(s)
Palmer, Carole
Issue Date
2010
Keyword(s)
data conservancy
Date of Ingest
2012-03-12T15:59:49Z
Abstract
Research libraries are evolving in the age of e-science. They are part of the growing, globally distributed network of digital information and services that supports the conduct of research. In this information landscape, digital data are now recognized as valuable assets research resources that can be aggregated and integrated across multiple scales of size, time, and orders of complexity, and across disciplines to address the grand research challenges facing society. Data curation is central to making this vision a reality. As research libraries take on the responsibility of curating research data, they will need to collaborate with scientists and technologists whose knowledge and expertise are essential in creating large-scale, high performance information systems, where data are shared and linked to the literature. The Data Conservancy (DC) is one of a group of 5-6 NSF DataNet awards being funded to develop a national data network for the sciences. Led by Sayeed Choudhury at Johns Hopkins University Library, DC is an international group of uniquely qualified domain scientists, information and computer scientists, librarians, and engineers that will design and implement an integrated data curation strategy that is a model of future research libraries. The initiative has a broad purview, covering astronomy, biology, earth science, and social science, and working to build a cross-disciplinary infrastructure to address the urgent need to collect, organize, validate, and preserve data to support scientific inquiry. The research conducted at Illinois will contribute to development of a data model for observational data and a general framework for data collection identity and description. Technical development of the DC will also be informed by our research on the differences in data practices and curation requirements across the research communities served by DC.
Publisher
Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign
Type of Resource
  • other
  • audio
Genre of Resource
Presentation / Lecture / Speech
Language
en
Permalink
http://hdl.handle.net/2142/30001

Owning Collections

Research Showcase 2010 - Graduate School of Information Sciences PRIMARY