Workshops & Special Sessions
Adding Value to Data—Digital Repositories in the e-Science World
Organizers
Andreas Aschenbrenner, University of Göttingen, Germany
Tobias Blanke, King's College London, UK
Mark Hedges, King's College London, UK
Abstract
There is a great, untapped potential for synergies between grid/e-science technologies and a cluster of related systems addressing the management of digital assets in digital libraries and repositories. The digital material generated from and used by academic and other research is to an increasing extent being held in formal data management systems; these systems are variously categorized as digital repositories, libraries or archives, although the distinction between them relates more to the sort of data that they contain and the use to which the data is put, rather than to any major difference in functionality. In many cases, these systems are used currently to hold relatively simple objects, for example an institution.s pre-prints and publications, or e-theses. However, some institutions are beginning to use them to manage research data in a variety of disciplines, including physical sciences, social sciences, and the arts and humanities, as well as the output from various digitisation programmes.
Modern repository systems allow us to move away from the model of a stand-alone repository, library or archive, where objects are simply deposited for subsequent access and download. Instead, researchers are developing more sophisticated models in which these containers of data are integrated components of a larger e-Science research infrastructure, incorporating advanced tools and workflows, and are being used to model complex webs of information and capture scholarly or scientific processes in their entirety, from raw data through to final publications. Repositories have been successfully combined with data grid technologies, and in addition computational grids seem to offer possible applications in digital preservation and curation, such as automatic metadata extraction and index creation. These systems thus could add value to the data-driven research lifecycle in e-Science.
Date and Time
Friday, December 12, Time TBA
Submission URL
https://cmt.research.microsoft.com/DReSNeteScience2008/
