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

Autor: 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
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: EPJ Web of Conferences, Vol 245, p 08014 (2020)
Druh dokumentu: article
ISSN: 2100-014X
DOI: 10.1051/epjconf/202024508014
Popis: 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.
Databáze: Directory of Open Access Journals