Data-driven Economies in Central and Eastern Europe

Data-driven Economies in Central and Eastern Europe
Author :
Publisher :
Total Pages : 49
Release :
ISBN-10 : 927979373X
ISBN-13 : 9789279793738
Rating : 4/5 (3X Downloads)

Book Synopsis Data-driven Economies in Central and Eastern Europe by : Alexander Kotsev

Download or read book Data-driven Economies in Central and Eastern Europe written by Alexander Kotsev and published by . This book was released on 2018 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recently published Communication on “Building a European Data Economy” (COM(2017)9) clearly highlights the increasing importance of data as a driver for growth, innovation and job creation. It is estimated that by year 2020, the value the EU data economy will increase to EUR 643 billion, representing over 3% of the EU GDP. At the same time there is no comparable and quantifiable evidence on the current state and the future perspectives of the data driven economy in the European Union neighbouring countries. It can however safely be assumed that the role of data will be following a similar pattern, and is therefore expected to be contribution to an increasing relative share of GDP. Furthermore, some European neighbouring countries, most notably those in Central and Eastern Europe, are a recognised destination for IT businesses that grow two to three times faster than in their economy of origin. Within this context, a workshop was co-organized by the World Bank, the UN Economic Commission for Europe (UNECE), the Food and Agriculture Organization of the United Nations (FAO) and the Joint Research Centre of the European Commission (JRC). The workshop took place on 05 September as part of the annual INSPIRE Conference in 2017 (co-organised in Strasbourg and Kehl by France and Germany). The workshop explored the challenges and possibilities related with Data driven economy in Central and Eastern Europe. All the presentation of attendees are available online. The rapidly emerging spatial data infrastructures (SDI) were used as a use case to have a better insight into the data economy as they address a broad spectrum of topics that relate to the legal, technological and organisational challenges towards the use and reuse of data. Particular emphasis was put on good practices that if re-used and extended, can further foster innovation and intensify growth. This JRC technical report summarises the outcomes of the WB/UNECE/FAO/JRC workshop. It includes (i) overview of relevant processes on the global and European agenda, (ii) good practices from countries in the target region on the value-added from data that provide indications future policy directions and emerging opportunities.


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