Descrizione del progetto
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.
Campo scientifico
Argomento(i)
Invito a presentare proposte
FP7-ICT-2009-5
Vedi altri progetti per questo bando
Meccanismo di finanziamento
NoE - Network of ExcellenceCoordinatore
6020 Innsbruck
Austria
Mostra sulla mappa
Partecipanti (21)
Partecipazione conclusa
1060 WIEN
Mostra sulla mappa
1190 Wien
Mostra sulla mappa
6020 INNSBRUCK
Mostra sulla mappa
1015 Lausanne
Mostra sulla mappa
76131 Karlsruhe
Mostra sulla mappa
68161 Mannheim
Mostra sulla mappa
Partecipazione conclusa
14195 Berlin
Mostra sulla mappa
Partecipazione conclusa
35578 WETZLAR
Mostra sulla mappa
50009 Zaragoza
Mostra sulla mappa
50015 ZARAGOZA
Mostra sulla mappa
28040 Madrid
Mostra sulla mappa
70013 Irakleio
Mostra sulla mappa
38122 Trento
Mostra sulla mappa
20126 Milano
Mostra sulla mappa
Partecipazione conclusa
1098XG AMSTERDAM
Mostra sulla mappa
1327 LYSAKER
Mostra sulla mappa
7034 Trondheim
Mostra sulla mappa
1000 Ljubljana
Mostra sulla mappa
MK7 6AA Milton Keynes
Mostra sulla mappa
SO17 1BJ Southampton
Mostra sulla mappa
20133 Milano
Mostra sulla mappa