Data Science: Current capabilities
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Coordinating analysis across large datasets
Established · Capability snapshot: 2026-11-03
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.
MapReduce: Simplified Data Processing on Large Clusters — Dean and Ghemawat / OSDI · Source date: 2004 · Checked
Making research resources easier to reuse
Established · FAIR principles reviewed 2026-11-03
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.
The FAIR Guiding Principles — GO FAIR Foundation · Checked