Community Survey for monitoring BDV SRIA, now open!

The BDVA (Big Data Value Association) is launching its yearly community survey for monitoring the BDV Strategic Research and Innovation Agenda (SRIA). The objective of the community survey is to engage with the wider community to ensure a comprehensive perspective concerning the technical and business impact of the SRIA technical and non-technical priorities as well as to identify emerging priorities with high impact for the European big data economy. The results of the community survey will be used as input for the regular SRIA update.

If you are an expert, interested or working in the European big data economy, we invite you to share your opinion by answering the short questionnaire on
The survey should not take longer than 10 minutes and is open until 30. September 2016.

Industrial Technologies 2016

Industrial Technologies 2016 is the largest networking conference in the field of new production technologies, materials, nanotechnology, biotechnology and digitization in Europe. Industrial Technologies 2016 is a three days conference with a wide variety of plenary and interactive sessions, inspiring keynote speakers, case studies, eye-opening site visits and numerous opportunities to get in contact with new business partners. More information on the website:

EC Workshop 'Interoperability and Standards in the European Data Economy'

The European Commission's Data Value Chain Unit (G.3) at DG CONNECT organised a workshop on "Interoperability and Standards in the European Data Economy" on 14th March 2016, held at the EUROFORUM Building in Luxembourg from 9:00 until 17:00.

The aim of the workshop was to identify cross-cutting issues in the standardisation landscape of the European data economy.

The workshop was intended to give the attendants the opportunity to provide input to European policy discussions on data interoperability and standards, and to exchange views and network with other stakeholders of the European data ecosystem.

The workshop aimed at sharing and discussing issues related with interoperability and standards in the European Data Economy, under an informal and open approach intended to explore key topics and action aspects that should be taken into consideration for current and future policy activities.

PICASSO EU-US Expert Group Meeting on Big Data

More than 50 EU and US experts from Big Data, 5G Networks, Internet of Things/Cyber Physical Systems and the Policy field met at the first PICASSO Expert Groups meeting, hosted by the National Institute of Standards and Technology at the Department of Commerce at Washington, D.C., USA, on the 20th of May 2016. The Expert Groups exchanged ways to enhance transatlantic collaboration, priorities, and the next steps. BDVA was represented in the PICASSO Big Data Expert Group by Prof. Dr. Sören Auer from the University of Bonn, Dr. Andreas Metzger from paluno (The Ruhr Institute for Software Technology), and Nikos Sarris from ATC, who is also acting as Expert Group chair. Slides presented at the expert group meeting can be downloaded from

Fostering the BDVA in the Small Big Data Value Association Summit in The Hague

The BDVA organized its second Summit in The Hague from March 2 to 4, 2016 – an event that was centred on Societal Impact of Big Data. More than 200 attendees from all around Europe, showing the consolidation and maturity of Big Data Value Association. Keynote speeches, one interesting panel session with 7 panellists, and 15 working sessions showed the results of BDVA Task Forces and addressed the future needs for the European Big Data Community.

A Big Data platform for the future: Technical insights into the BigDataEurope Project (Webinar)

The Big Data Europe (BDE) Project is designed to enable European companies to build innovative multilingual products and services based on semantically interoperable, large-scale, multilingual data assets and knowledge, which are currently available in various licenses and business models. In this context, BDE aims to collect ICT infrastructure requirements from data-intensive science practitioners, in order to tackle the wide range of societal challenges that arise in the seven areas of Climate, Energy, Food, Health, Transport, Security and Social Sciences