Improving data quality monitoring via a partnership of technologies and resources between the CMS experiment at CERN and industry

• Published in: EPJ Web of conferences Vol. 214; p. 1007
• Main Authors: Azzolin, Virginia, Andrews, Michael, Cerminara, Gianluca, Dev, Nabarun, Jessop, Colin, Marinelli, Nancy, Mudholkar, Tanmay, Pierini, Maurizio, Pol, Adrian, Vlimant, Jean-Roch
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 2019
• Subjects: Anomalies; Arbitration; CERN; Data loss; Experiments; Human resources; Large Hadron Collider; Machine learning; Metadata; Monitoring; Quality; Quality assessment; Solenoids; Workflow

The Compact Muon Solenoid (CMS) experiment dedicates significant effort to assess the quality of its data, online and offline. A real-time data quality monitoring system is in place to spot and diagnose problems as promptly as possible to avoid data loss. The a posteriori evaluation of processed dat...