Use case class 2: analysis of local or distributed data sets

Analysing distributed or local data sets consitutes a core element of the scientific enterprise
and for this it is essential to deploy a data management system that enables data finding, efficient
data movement, and the execution of compute jobs. It is also crucial for users to be able to control
and monitor these analyses through a uniform portal interface. Three types of analyses needs to
be supported: downloading intermediate data sets from an archive to a local compute platform, moving the data to a large scale shared compute resource, extremely large datasets where the so-called
code-to data approach needs to be adopted. The PUNCH4NFDI science portal will provide a working
solution for PUNCH and other communities.

Note: The links at the indidual use cases lead to internal PUNCH4NFDI pages.