EPJ Web of Conferences (Jan 2020)

Open data provenance and reproducibility: a case study from publishing CMS open data

  • Šimko Tibor,
  • de Bittencourt Heitor Pascoal,
  • Carrera Edgar,
  • Delgado Lopez Diyaselis,
  • Lange Clemens,
  • Lassila-Perini Kati,
  • Lintuluoto Adelina,
  • Lloret Iglesias Lara,
  • McCauley Thomas,
  • Okraska Jan,
  • Prelipcean Daniel,
  • Savaniakas Mantas

DOI
https://doi.org/10.1051/epjconf/202024508014
Journal volume & issue
Vol. 245
p. 08014

Abstract

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In this paper we present the latest CMS open data release published on the CERN Oopen Data portal. Samples of collision and simulated datasets were released together with detailed information about the data provenance. The associated data production chains cover the necessary computing environments, the configuration files and the computational procedures used in each data production step. We describe data curation techniques used to obtain and publish the data provenance information and we study the possibility of reproducing parts of the released data using the publicly available information. The present work demonstrates the usefulness of releasing selected samples of raw and primary data in order to fully ensure the completeness of information about the data production chain for the attention of general data scientists and other non-specialists interested in using particle physics data for education or research purposes.