Year: 2017
Type: article
Abstract: Historically, the Cornell High Energy Synchrotron Source, CHESS, with its relatively small number of beamlines, has relied on users to manage their own data.The facility has provided adequate RAID storage at each station for a 6-8 week run, with some longer term backup.The advent of increasing numbers of experiments involving massive amounts of data has strained this system.Accordingly, we have recently implemented a large, centralized, more organized, system ("CHESS DAQ"), with separate storage for raw data, metadata, and general user data.Nightly incremental backups and full archiving at the end of each run protect against data loss.This system is used for most experiments at CHESS, with individual variations to suit the needs of users and staff.Our primary goal has been, and remains, to facilitate research by our users, by providing them the means to collect, process, and store the most useful data possible, while avoiding excessive bureaucracy.
Authors: D. Marian Szebenyi, Devin Bougie, Aaron Finke, Richard Gillilan, Jesse Hopkins, David Schuller, Werner Sun
Institution: Cornell University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2779573298