EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)||8|
|Section||8 - Collaboration, Education, Training and Outreach|
|Published online||16 November 2020|
Open data provenance and reproducibility: a case study from publishing CMS open data
CERN, Geneva, Switzerland
2 Helsinki Institute of Physics, Finland
3 Universidad San Francisco de Quito, Ecuador
4 University of Puerto Rico, Puerto Rico
5 Instituto de Física de Cantabria, Santander, Spain
6 University of Notre Dame, US
7 Technical University of Munich, Germany
8 University of Vilnius, Lithuania
* e-mail: email@example.com
Published online: 16 November 2020
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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