Producing
Star Student Project scientific data
sets involves large number of computation intensive tasks, e.g., scientific
workflows hence taking a long time for execution. These generated data sets
contain important intermediate or final results of the computation, and need to
be stored as valuable resources. This is because: 1) data can be
reused—scientists may need to re-analyze the results or apply new analyzes on
the existing data sets; 2) data can be shared—for collaboration, the
computation results are shared; hence, Star
Student Project the data sets are used by scientists from different
institutions.