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Constraints on Future Analysis Metadata Systems in High Energy Physics

  • T. J. Khoo
  • , A. Reinsvold Hall
  • , N. Skidmore
  • , S. Alderweireldt
  • , J. Anders
  • , C. Burr
  • , W. Buttinger
  • , P. David
  • , L. Gouskos
  • , L. Gray
  • , S. Hageböck
  • , A. Krasznahorkay
  • , P. Laycock
  • , A. Lister
  • , Z. Marshall
  • , A. B. Meyer
  • , T. Novak
  • , S. Rappoccio
  • , M. Ritter
  • , E. Rodrigues
  • J. Rumsevicius, L. Sexton-Kennedy, N. Smith, G. A. Stewart, S. Wertz
  • Humboldt University of Berlin
  • United States Naval Academy
  • University of Manchester
  • University of Edinburgh
  • University of Bern
  • CERN
  • Rutherford Appleton Laboratory
  • Université catholique de Louvain
  • Fermi National Accelerator Laboratory
  • United States Department of Energy
  • University of British Columbia
  • Lawrence Berkeley National Laboratory
  • German Electron Synchrotron
  • Ludwig Maximilian University of Munich
  • University of Liverpool

Research output: Contribution to journalArticlepeer-review

Abstract

In high energy physics (HEP), analysis metadata comes in many forms—from theoretical cross-sections, to calibration corrections, to details about file processing. Correctly applying metadata is a crucial and often time-consuming step in an analysis, but designing analysis metadata systems has historically received little direct attention. Among other considerations, an ideal metadata tool should be easy to use by new analysers, should scale to large data volumes and diverse processing paradigms, and should enable future analysis reinterpretation. This document, which is the product of community discussions organised by the HEP Software Foundation, categorises types of metadata by scope and format and gives examples of current metadata solutions. Important design considerations for metadata systems, including sociological factors, analysis preservation efforts, and technical factors, are discussed. A list of best practices and technical requirements for future analysis metadata systems is presented. These best practices could guide the development of a future cross-experimental effort for analysis metadata tools.

Original languageEnglish
Article number13
JournalComputing and Software for Big Science
Volume6
Issue number1
DOIs
StatePublished - Dec 2022

Keywords

  • Data analysis
  • Databases
  • High energy physics
  • Metadata
  • Scientific computing

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