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

Tibor Šimko
(
- CERN
)
,
Heitor Pascoal de Bittencourt
(
- Helsinki Inst. of Phys.
)
,
Edgar Carrera
(
- San Francisco de Quito U.
)
,
Diyaselis Delgado Lopez
(
- Unlisted, PR
)
,
Clemens Lange
(
- CERN
)

2020

8 pages

Part of Proceedings, 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019) : Adelaide, Australia, November 4-8, 2019

Published in:

EPJ Web Conf. 245 (2020) 08014

Contribution to:

- CHEP 2019

Published: 2020

DOI:

10.1051/epjconf/202024508014

View in:

CERN Document Server

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Abstract: (EDP Sciences)

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.

activity report
CMS
publishing
CERN Lab
data compilation

References(8)

Figures(0)

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