Data Science: Current capabilities

Distributed processing makes it possible to aggregate and transform datasets beyond a single machine’s practical capacity. The MapReduce model remains an important historical explanation of this capability. More processing power does not determine whether observations are representative or conclusions are justified.

FAIR guidance addresses findability, accessibility, interoperability and reusability. Persistent identifiers, metadata and documented access conditions help people and software work with digital research resources. FAIR does not require publishing private data without controls, and it does not certify an analysis as correct.