The signature of the Big Data Value Public Private Partnership (BDV PPP) took place on 13 October 2014 at the Hotel Silken Berlaymont in Brussels, by the European Commission Vice-President Neelie Kroes and the President of the Big Data Value Association Jan Sundelin, TIE Kinetix.
The BDV PPP signature is the first step towards building a thriving data community in the EU. Already in November 2013 in Vilnius Vice President Neelie Kroes called for the creation of a European Public Partner Partnership for Big Data. Vice President Kroes highlighted that Big Data is becoming the fuel for innovation, powering and energizing European economy.
This signature marks the commitment by the European Commission, industry and academia partners to build a data-driven economy across Europe, mastering the generation of value from Big Data and creating a significant competitive advantage for European industry, boosting economic growth and jobs.
The BDV PPP will commence in 2015 start with first projects in 2016 and will run until 2020. Covering the multidimensional character of Big Data, the PPP activities will address technology and applications development, business model discovery, ecosystem validation, skills profiling, regulatory and IPR environment and social aspects.
The BDV PPP will lead to a comprehensive innovation ecosystem for achieving and sustaining European leadership on Big Data, and for delivering maximum economic and societal benefit to Europe – its business and its citizens.
The Big Data Value Association partnering with the European Commission is an non-for-profit industry-led organization that has members from across Europe and comprises large and small industry and research entities. The BDVA will provide strategic oversight, advice and community engagement.
BDVA founding members include AnswareTech s.l., ATC, Atos SE, CINI Consorzio Interuniversitario Nazionale per l'lnfofmatica, Engineering Ingegneria Informatica SpA, Fraunhofer Gesellschaft, German Research Center for Artificial Intelligence DFKI GmbH, IBM Israel – Science and technology Ltd, INDRA Sistemas S.A, Insight National University of Ireland Galway, Intel Research and Innovation Ireland Ltd, IT Innovation Center, ITI Instituto Tecnológico de Informática, National University of Ireland Galway, Nokia Solutions and Networks Oy, Orange SA, SAP SE, Siemens AG, Software AG, Stiftelsen SINTEF, THALES Communications and Security S.A.S, TIE Kinetix N.V, Universidad Politécnica de Madrid, Universität Duisburg Essen and VTT Technical Research Centre of Finland supported by Platte Consult.
Today, analysts seek to derive insight from large, heterogeneous, high-velocity (i.e., big) data sets using varying data analysis methods. These data sets are ubiquitous. They arise due to burgeoning cloud computing services, the anticipated Internet of Services (IoS), and the emerging Internet of Things (IoT). Big data is often defined as any data set that cannot be handled using today’s widely available mainstream solutions, techniques, and technologies.
Currently, there is a shift towards data-driven decision-making in both industry and the sciences. This trend was described in a big data study we recently conducted for the German BMWi (formerly the Federal Ministry of Economics and Technology, today known as the Federal Ministry for Economic Affairs and Energy). In the study, big data challenges and opportunities were classified into five dimensions, namely, technology, application, economic, legal, and social. These are described below.
Technology. There is a need for scalable systems and platforms for data analysis, novel data analysis methods, and in particular technologies to help overcome the skills gap (e.g., enabling data analysis methods to be accessible to a wider audience).
Application. Many novel applications are emerging in the information economy, such as information marketplaces, which refine and sell enriched data. These information marketplaces are effectively bootstrapping the information economy. Other examples include personalized medicine, Industry 4.0, and digital humanities.
Economic. The challenges and opportunities in the economic dimension lie in new business models and content delivery paradigm shifts (e.g., information pricing and the role of open¬-source software).
Legal. From a legal perspective, big data will present many challenges with respect to ownership, liability, and insolvency, in addition to prevalent issues, such as privacy and security.
Social. Lastly, data driven innovation will have a profound impact on society as a whole with respect to social interaction, news, and democratic processes, among others.
The German Study and an English summary can be found at Big Data Management Report
Written by Prof. Volker Markl, Database Systems and Information Management TU Berlin
The European Technology Platform for Software and Services NESSI, together with partners from the FP7 project Big, have drafted a Strategic Research and Innovation Agenda (SRIA) on Big Data Value. The objective of the SRIA is to describe the main research challenges and needs for advancing Big Data Value in Europe in the next 5 to 10 years. The SRIA will be an important channel for providing input to the European Big Data Value Partnership that aims to establish a Public Private Partnership on Big Data Value.
This new initiative should be a common effort and we welcome you to provide your views on the SRIA. Your opinions will be integrated in the final version of the SRIA and presented at the NESSI summit 2014 on 27 May in Brussels (register here).
For background information you can download
We look forward to receiving your input!