Towards enhanced databases for High Energy Physics
Andrea Ceccarelli, Andrea Cioni, Maria Vittoria Garzelli, Piergiulio, Lenzi, Laura Redapi

TL;DR
This paper discusses improving High Energy Physics databases by reorganizing data for multidimensional analysis, enhancing data accessibility, usability, and supporting complex queries for the physics community.
Contribution
Proposes a new data organization scheme for HEPData enabling OLAP techniques for advanced data analysis and improved user interaction.
Findings
Reorganization of HEPData for multidimensional analysis
Application of OLAP techniques to HEP data
Feedback from DIS community guides database enhancements
Abstract
The accumulation of a large amount of new experimental data at an impressive rate at present and future collider experiments has led to important questions concerning data storage and organization, their public access and usability, as well as their efficient usage in order to discriminate between different theories. For the last fourty years, the HEPData database has been the reference database for the worldwide community of elementary particle physicists, from DIS to fixed-target and collider experts. Using as a basis a dump of HEPData*, we discuss possible paths to enhance the capabilities of databases for High Energy Physics. Our starting point is the reorganization of the data in a different scheme, which allows for the application of OLAP techniques to automatically extract information at a multidimensional level, answering to complex queries. The feedback of the DIS community is…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Distributed and Parallel Computing Systems · Data Quality and Management
