Description du projet
Intelligent information management
The PlanetData project aims to establish an interdisciplinary, sustainable European community of researchers, helping organizations to expose their data on the Web
PlanetData will push forward the state-of-the-art in large-scale data management and its application to the creation of useful, open data sets. This is motivated by the increasing reliance of business on large public data; the uptake of open data principles in many vertical sectors; and the need of research communities to make sense out of petabytes of scientific data, to describe and expose this data in ways that encourage and enable collaboration.
PlanetData aims to establish a sustainable European community of researchers that supports organizations in exposing their data in new and useful ways. The ability to effectively and efficiently make sense out of the enormous amounts of data continuously published online, including data streams, (micro)blog posts, digital archives, eScience resources, public sector data sets, and the Linked Open Data Cloud, is a crucial ingredient for Europe's transition to a knowledge society. It allows businesses, governments, communities and individuals to take decisions in an informed manner, ensuring competitive advantages, and general welfare. Research will concentrate on three key challenges that need to be addressed for effective data exposure in a usable form at global scale. We will provide representations for stream-like data, and scalable techniques to publish, access and integrate such data sources on the Web. We will establish mechanisms to assess, record, and, where possible, improve the quality of data through repair. To further enhance the usefulness of data - in particular when it comes to the effectiveness of data processing and retrieval - we will define means to capture the context in which data is produced and understood - including space, time and social aspects. Finally, we will develop access control mechanisms - in order to attract exposure of certain types of valuable data sets, it is necessary to take proper account of its owner's concerns to maintain control and respect for privacy and provenance, while not hampering non-contentious use. We will test all of the above on a highly scalable data infrastructure, supporting relational, RDF, and stream processing, and on novel data sets exposed through the network, and derive best practices for data owners. By providing these key precursors, complemented by a comprehensive training, dissemination, standardization and networking program, we will enable and promote effective exposure of data at planetary scale.
Champ scientifique
Appel à propositions
FP7-ICT-2009-5
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Régime de financement
NoE - Network of ExcellenceCoordinateur
6020 Innsbruck
Autriche
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Participants (21)
Participation terminée
1060 WIEN
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1190 Wien
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6020 INNSBRUCK
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1015 Lausanne
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76131 Karlsruhe
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68161 Mannheim
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14195 Berlin
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35578 WETZLAR
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50009 Zaragoza
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50015 ZARAGOZA
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28040 Madrid
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70013 Irakleio
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38122 Trento
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20126 Milano
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1098XG AMSTERDAM
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1327 LYSAKER
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7034 Trondheim
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1000 Ljubljana
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MK7 6AA Milton Keynes
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SO17 1BJ Southampton
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20133 Milano
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