2. Data Intensive Science

Data-intensive science means:

1. Using many data collections
2. Using large data collections

Point (1) requires standard formats and access protocols to the data, point (2) means moving the data to your box and operating on it with FORTRAN and grep becomes infeasible.

The Virtual Observatory (VO) in general is about solving problem (1), TAP/ADQL in particular about (2).