EDF2013 announcement: The European Data Innovator Award
The European Data Innovator Award was established to recognize outstanding enterprises and individuals, who have shown exceptional vision and execution in the field of integrating and leveraging enterprise and/or open data for a broad range of commercial use cases. The European Data Innovator Award was made possible by eccenca GmbH, a AKSW Research Group spin-off from Leipzig, Germany.
EDF2013 Main Track will be streamed and recorded by videolectures.net powered by X-LIKE
The EDF2013 Organising Committee is happy to announce that the main track of the European data Forum 2013 (EDF2013) will be recorded as well as streamed live by videolectures.net, powered by the X-LIKE project!
EDF2013 Press Release out and Press Corner updated
The EDF2013 communication team is happy to announce that the 1st press release of the European Data Forum 2013 (EDF2013) is out now - for further information and downloads please visit our updated EDF2013 Press Area - where you can find press releases and -clippings, conference facts & most important EDF2013 links as well as the entry points to all social media channels for EDF2013 and a lot more of relevant EDF2013 information and material.
Free Registration and Call for Contribution are open
Time to plan for the European Data Forum 2013 in Dublin. The yearly meeting place for industry, research, policy makers, and community initiatives to discuss the challenges and opportunities of (Big) Data in Europe. Free Registration for the European Data Forum 2013 is now open. EDF also invites to submit proposials on to be held presentations addressing fundamental technical, application, socio-economic and policy-related topics related to Big Data management and analytics.
The European Data Forum (EDF) is a regularly scheduled (yearly) meeting place for industry, research, policy makers, and community initiatives to discuss the challenges and opportunities of (Big) Data in Europe. These aspects have both a technical (in terms of technology and infrastructure needed to master the volumes, heterogeneity, and dynamicity of Big Data), and a socio-economic component (speaking about emerging types of products and services and their commercialization, innovation and business models, but also policies and regulations).