Knowledge sharing and collaboration in translational research, and the DC-THERA Directory
Identifieur interne : 000266 ( Ncbi/Checkpoint ); précédent : 000265; suivant : 000267Knowledge sharing and collaboration in translational research, and the DC-THERA Directory
Auteurs : Andrea Splendiani ; Michaela Gündel ; Jonathan M. Austyn ; Duccio Cavalieri ; Ciro Scognamiglio ; Marco BrandiziSource :
- Briefings in Bioinformatics [ 1467-5463 ] ; 2011.
Abstract
Biomedical research relies increasingly on large collections of data sets and knowledge whose generation, representation and analysis often require large collaborative and interdisciplinary efforts. This dimension of ‘big data’ research calls for the development of computational tools to manage such a vast amount of data, as well as tools that can improve communication and access to information from collaborating researchers and from the wider community. Whenever research projects have a defined temporal scope, an additional issue of data management arises, namely how the knowledge generated within the project can be made available beyond its boundaries and life-time. DC-THERA is a European ‘Network of Excellence’ (NoE) that spawned a very large collaborative and interdisciplinary research community, focusing on the development of novel immunotherapies derived from fundamental research in dendritic cell immunobiology. In this article we introduce the DC-THERA Directory, which is an information system designed to support knowledge management for this research community and beyond. We present how the use of metadata and Semantic Web technologies can effectively help to organize the knowledge generated by modern collaborative research, how these technologies can enable effective data management solutions during and beyond the project lifecycle, and how resources such as the DC-THERA Directory fit into the larger context of e-science.
Url:
DOI: 10.1093/bib/bbr051
PubMed: 21969471
PubMed Central: 3220873
Affiliations:
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PMC:3220873Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>Biomedical research relies increasingly on large collections of data sets and knowledge whose generation, representation and analysis often require large collaborative and interdisciplinary efforts. This dimension of ‘big data’ research calls for the development of computational tools to manage such a vast amount of data, as well as tools that can improve communication and access to information from collaborating researchers and from the wider community. Whenever research projects have a defined temporal scope, an additional issue of data management arises, namely how the knowledge generated within the project can be made available beyond its boundaries and life-time. DC-THERA is a European ‘Network of Excellence’ (NoE) that spawned a very large collaborative and interdisciplinary research community, focusing on the development of novel immunotherapies derived from fundamental research in dendritic cell immunobiology. In this article we introduce the DC-THERA Directory, which is an information system designed to support knowledge management for this research community and beyond. We present how the use of metadata and Semantic Web technologies can effectively help to organize the knowledge generated by modern collaborative research, how these technologies can enable effective data management solutions during and beyond the project lifecycle, and how resources such as the DC-THERA Directory fit into the larger context of e-science.</p>
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<tree><noCountry><name sortKey="Austyn, Jonathan M" sort="Austyn, Jonathan M" uniqKey="Austyn J" first="Jonathan M." last="Austyn">Jonathan M. Austyn</name>
<name sortKey="Brandizi, Marco" sort="Brandizi, Marco" uniqKey="Brandizi M" first="Marco" last="Brandizi">Marco Brandizi</name>
<name sortKey="Cavalieri, Duccio" sort="Cavalieri, Duccio" uniqKey="Cavalieri D" first="Duccio" last="Cavalieri">Duccio Cavalieri</name>
<name sortKey="Gundel, Michaela" sort="Gundel, Michaela" uniqKey="Gundel M" first="Michaela" last="Gündel">Michaela Gündel</name>
<name sortKey="Scognamiglio, Ciro" sort="Scognamiglio, Ciro" uniqKey="Scognamiglio C" first="Ciro" last="Scognamiglio">Ciro Scognamiglio</name>
<name sortKey="Splendiani, Andrea" sort="Splendiani, Andrea" uniqKey="Splendiani A" first="Andrea" last="Splendiani">Andrea Splendiani</name>
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