The DataSTAGE (Storage, Toolspace, Access and analytics for biG data Empowerment) project aims to create a community of practice that is motivated to collaboratively solve technical challenges to enable NHLBI investigators to find, access, share, store, cross-link, and compute on large-scale data sets. Though the primary goal of the DataSTAGE Consortium is to build a data science platform, at its core this is a people-centric endeavor.
The relationship between DataSTAGE (Storage, Toolspace, Access and analytics for biG data Empowerment) and the Data Commons Pilot Phase Consortium (DCPPC) is quite straightforward:
There are expectations that the DCPPC and DataSTAGE will each cross-inform the other project of significant processes, emerging standards, and decisions using an RFC process that has been described here (access to link requires membership in the DCPPC organization on GitHub).
This should permit loose coupling, and yet parallel progress, in order to reap the benefits of both of these two efforts.
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