Necessary but not Sufficient - Closing the Gap Between Data Access and Use by a Broad User Community
Abstract
Earth science cyberinfrastructure developers like the team at the University of New Mexico Earth Data Analysis Center (EDAC) and University of Texas at El Paso Cyber-ShARE Center of Excellence work closely with researchers to document and transfer their research products (data and related materials) into systems that will allow for long-term access and reuse, both in the research domain within which they were generated but also for potential use outside that domain. While we have generally treated this problem as a technical one in which we develop robust systems that can reliably deliver interoperable data and visualization services to a wide variety of client applications and platforms we have not yet achieved the potential of ubiquitous use of our science data holdings outside of the community that developed them. A number of barriers must be overcome to realize the broader potential of these data: Discoverability - data must be discoverable through the tools and interfaces that are used by the broader community in addition to the specialized archives with which the source communities interact Understanding - data must be documented in ways that allow other potential users to understand the content, context, and potential use of data products Usability - data must be available in a variety of formats and packages that are easily integrated into the systems and processes that are already in use by the prospective end users Transferability - the rights and obligations of potential users must be clearly defined for data products (i.e. licensing terms) Planning - data management must be planned for from the beginning so that all of the above can be accomplished This paper presents some of the activities that EDAC and Cyber-ShARE have undertaken (in partnership with collaborators at KU, DataONE, New Mexico Department of Health, Pacific Northwest National Laboratory, and the New Mexico EPSCoR Program) in working to overcome these barriers to increased use of scientific data products in education and across research domains. EDAC focuses primarily on discoverability, usability, and transformability using current best practices while Cyber-ShARE's efforts are directed primarily toward emerging Semantic Web approaches for planning, discoverability, and understanding.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2012
- Bibcode:
- 2012AGUFMED41A0671B
- Keywords:
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- 0845 EDUCATION / Instructional tools;
- 1908 INFORMATICS / Cyberinfrastructure;
- 1938 INFORMATICS / Knowledge representation and knowledge bases;
- 1960 INFORMATICS / Portals and user interfaces