International Data Week 2016
Data professionals and researchers from across the globe will convene in Denver, Colorado, for International Data Week, organised by the Research Data Alliance (RDA), the Committee on Data for Science (CODATA), and the World Data System (WDS).
The theme for 2016 is ‘From Big Data to Open Data: Mobilizing the Data Revolution’. Data scientists, researchers, industry leaders, entrepreneurs, policy makers and data stewards will explore how best to exploit the data revolution to improve our knowledge and benefit society through data-driven research and innovation.
Among the members of International Data Week’s Programme Committee are University of Reading Professor in Global Palaeoclimates and Biogeochemical Cycles, Sandy Harrison, and Tony Hey, Chief Data Scientist at IEA Partner STFC.
Three events form International Data Week:
SciDataCon 2016 (September 11-13) ADVANCING THE FRONTIERS OF DATA IN RESEARCH – Addressing a range of fundamental and urgent issues around the ‘Data Revolution’ and the recent data-driven transformation of research and the responses to these issues in the conduct of research.
International Data Forum (September 14) – The centre piece of the conference and an opportunity to hear from world-renowned keynote speakers and collaborate on the national and international dimensions of the data revolution, its implications for research and policy, and the links between research, industry and education that are required for the global community to fully exploit new opportunities.
Research Data Alliance’s 8th Plenary Meeting (September 15-17) – An opportunity to network and collaborate with colleagues and peers in various disciplines, and make concrete progress in technical and social areas on topics related to research data sharing and exchange. Featuring keynote talks, meetings of Working Groups and Interest Groups, and ‘Birds of a Feather’ discussions, which explore new potential working or interest group topics. The meeting will also host a marketplace for small and medium enterprises involved with Big Data.
For the programmes click here.