Portals for collaborative research communities: two distinguished case studies
Identifieur interne : 000766 ( Main/Exploration ); précédent : 000765; suivant : 000767Portals for collaborative research communities: two distinguished case studies
Auteurs : Ibrahim Elsayed [Autriche] ; Gregory Madey [États-Unis] ; Peter Brezany [Autriche]Source :
- Concurrency and Computation: Practice and Experience [ 1532-0626 ] ; 2011-03-10.
English descriptors
Abstract
Case study research excels at bringing us to an understanding of a complex issue or object and can extend experience or add strength to what is already known through previous research. The research work summarized by this paper discusses two different case studies in the field of portals for collaborative research communities, in particular VectorBase and BGA‐Space. VectorBase at its core is a scientific database that focuses on search, data mining and offers multiple integrated bioinformatics tools for analyzing and browsing genomic and related data. BGA‐Space focuses on capturing semantics from scientists during processing of scientific experiments as well as preserving the full life cycle of scientific data to enable their reuse. The two case studies involve heavy research and the application of theories, concepts, and knowledge commonly discussed in the targeted field. Copyright © 2010 John Wiley & Sons, Ltd.
Url:
DOI: 10.1002/cpe.1685
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Case study research excels at bringing us to an understanding of a complex issue or object and can extend experience or add strength to what is already known through previous research. The research work summarized by this paper discusses two different case studies in the field of portals for collaborative research communities, in particular VectorBase and BGA‐Space. VectorBase at its core is a scientific database that focuses on search, data mining and offers multiple integrated bioinformatics tools for analyzing and browsing genomic and related data. BGA‐Space focuses on capturing semantics from scientists during processing of scientific experiments as well as preserving the full life cycle of scientific data to enable their reuse. The two case studies involve heavy research and the application of theories, concepts, and knowledge commonly discussed in the targeted field. Copyright © 2010 John Wiley & Sons, Ltd.</div>
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