DataFed - A Scientific Data Federation
DataFed is a federated and scalable scientific data management and collaboration system that addresses the critical need for holistic and FAIR-principled “big data” handling within, and across, scientific domains and facilities with the goal of enhancing the productivity and reproducibility of data-oriented scientific research. DataFed supports the early lifecycle stages of “working” scientific data and serves as a tool to ease the burden associated with capturing, organizing, and sharing potentially large volumes of heterogeneous scientific data. DataFed provides an environment in which scientific data can be precisely controlled and refined in preparation for eventual data publishing.
DataFed Documentation
This site contains all user and administrative documentation for the DataFed system - including client interfaces and application programming interfaces. The system introduction and overview documents introduce DataFed-specific terminology and key concepts that are references by subsequent documents on this site.
Web Portal
Client Package
Command Line Interface
Python Interface
Administration