Event Name


Start Date 2nd Nov 2014
End Date 5th Nov 2014

The International Conference on Data Sharing and Integration for Global Sustainability (SciDataCon) is motivated by the conviction that the most significant research challenges – and in particular the pressing issues relating to global sustainability – cannot be properly addressed without due attention to various issues relating to data.  SciDataCon aims to make explicit the connection between concrete and specific challenges to ensure environmental protection, economic prosperity and social well being along with the research questions that arise from these challenges and the necessary role of data policy, management and analysis in addressing these research questions. The effectiveness and credibility of research findings rely on the widest possible availability of quality-assessed and interoperable datasets.

Research data are essential to all scientific endeavours. The emerging cultures of data sharing and publication, open access to, and reuse of data are the positive signs of an evolving research environment. Nevertheless, several cultural and technological challenges are still preventing the research community from realizing the full benefits of these tendencies.

The Committee on Data for Science and Technology (CODATA) and the World Data System (WDS), interdisciplinary committees of the International Council for Science (ICSU) are together advancing this agenda by actively promoting effective data policies and good data management practices in the research community, to produce better science, which ultimately benefits society.  As a major contribution to this effort, the two organizations are co-sponsoring and organizing a high profile international biennial conference, which will examine, in an integrated way, the data issues at the heart of the global research questions and in a manner that will have tangible benefit for research and society.

Location New Delhi
Contact Simon Hodson
URL http://www.scidatacon2014.org/

Category Conferences
Topics Data analysis | General