Completed

General services to publish data are not available and the necessary editorial process  leading to quality assured and efficiently usable data requires resources to be quantified. At present, there is an imbalance between the capacities and functionality of existing data  centres and data repositories and the global production of scientific data. Budgets of data centres generally cover a precise scope, mostly data production of the host institution.

This Interest Group proposes that cloud computing infrastructures will provide Developing World Research (DWR) with the leverage necessary to compete with Developed World  Research and apply knowledge in providing solutions to the critical problems they encounter. Cloud computing platforms have the potential to:

The Research Data Provenance Interest Group focuses on the comparison and evaluation of models for data provenance. It is concerned with questions of data origins, maintenance of identity through the data lifecycle, and how we account for data modification.