Big Data Centres of Excellence


HomeSkillsBig Data Centres of Excellence

The BDV PPP is furthering the development of the European data ecosystems as a data-driven economy. One key action is the work to support Big Data Centres of Excellence to facilitate collaboration, exchange best practices between centres, and promote the establishment of new big data centres of excellence.

 

A network of Big Data Centres of Excellence in Europe

The objective of the Network of Big Data Centres of Excellence in Europe is to foster collaboration and promote the sharing of best practices between existing Big Data Centres of Excellence. The Network collaborates on topics including capacity building, educational programmes, centre governance, models for industrial collaboration, national data ecosystem development, and critical technical issues. The network was founded by Know-Centre and the Berlin Big Data Centre (BBDC) and is run with an extended core group including INSIGHT, IMEC, RISE and Big Data CoE Barcelona.

Big Data Centre of Excellence Framework

A best practice framework for Big Data Centres of Excellence has been developed to foster collaboration and share best practices between existing centres of excellence and support the establishment of new centres. The development of the best practice guide is conceptualised as a framework to capture appropriate methods for operating a BDVCoE including best practices, guidelines, challenges, successes, and opportunities. The resulting Big Data Centre of Excellence (BDVCoE) best practice framework is illustrated below:

The structure gathers best practices for the management and operation of a BDVCoE. The best practice framework models a centre using open systems theory that comprises input (environment), transformation (Centre of Excellence) and output (impact). The core model is affected by external forces including companies surrounding a Big Data Value Centre of Excellence (Industry), laws and regulations of research activities and use of data at national and European level (Policy) and human development (Societal). The internal operation of the centre is conceptualised as a set of high-level capabilities clustered around marginal practices including strategy, governance, structure, funding, and people & culture. The core capabilities of the centre include Business Development, Collaboration, Research Support Services, Technical Infrastructure, Experimentation/Demonstration Platforms, IP and Data Protection, Education and Public Engagement, Policy Outreach, Technology and Knowledge Transfer, Performance and Impact Assessment. The model is currently tested by the GATE project that involves the first Centre of Excellence in Bulgaria. The core model captures impacts produced by a centre regarding commerce, employment, or incomes generated from big data research (Economic), the creation of novel ideas and technological improvement (Scientific) and technological awareness, as well as advancement societal aspects (Societal).

Supporting New Big Data Centres of Excellence

How can a best practice guide be used to facilitate a new centre? We are working with a new centre in Sofia to answer this question. The best practices guide was shared with the first dedicated Big Data Centre of Excellence in Bulgaria that would make it the first one in Eastern Europe. The new centre is supported by the “GATE – Big Data for Smart Society” project, which is funded by Horizon 2020 WIDESPREAD-2016-2017 TEAMING Phase 1 programme and involves partners from Sofia University (Bulgaria), Chalmers University of Technology (Sweden) and Chalmers Industriteknik (Sweden). GATE’s goal is to create a sustainable plan for a Big Data Centre that will gain the necessary European and National funding for the establishment of the Centre of Excellence.

 

For more details, please click here. Are you interested in establishing a new Centre of Excellence? Please do not hesitate to contact us.

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