EDS Data Management
The Data Management infrastructure provides comprehensive solutions for managing the LCLS experimental data lifecycle, from acquiring and storing to organizing, retrieving, and long-term preserving.
Experiments produce petabyte-scale datasets, so this infrastructure is essential to maintain data integrity and provide secure access to research teams who are in the scientific discovery process.
Access our Tools
Our Data Management systems are built to support the extreme demands of high-repetition-rate instruments.
Web-based interface allowing users to browse, search, and retrieve experimental data and metadata from anywhere.
Access the Elog
Multi-tiered storage infrastructure providing short and long-term data storage with automated data movement across storage hierarchy layers.
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MLCV for Data Management
Machine Learning approaches for intelligent data management:
- Smart data categorization and tagging
- Predictive data lifecycle management
- ML-based data compression
