Issue |
EPJ Web of Conf.
Volume 294, 2024
WONDER-2023 - 6th International Workshop On Nuclear Data Evaluation for Reactor applications
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Article Number | 06002 | |
Number of page(s) | 7 | |
Section | Processing and Benchmarking | |
DOI | https://doi.org/10.1051/epjconf/202429406002 | |
Published online | 17 April 2024 |
https://doi.org/10.1051/epjconf/202429406002
Integrated, Automated, and Reproducible Nuclear Data Processing at the NEA
OECD Nuclear Energy Agency, Data Bank, 46 Quai Alphonse le Gallo, 92100 Boulogne-Billancourt, France
* e-mail: daniela.foligno@oecd-nea.org
Published online: 17 April 2024
Ensuring data preservation is a top priority for the Organization for Economic Co-operation and Development (OECD), Nuclear Energy Agency (NEA) Data Bank. Within this context, “preserving data” encompasses activities such as verifying, processing, sharing, improving, and storing the data. The NEA aims to automate these processes to the greatest extent possible, with the goal of providing the JEFF community with reproducible, high-quality data. To achieve this, the Data Bank has chosen to utilize GitLab, a web-based distributed Version Control System that facilitates the collaboration of different users. The author will present the current progress of the NEA pipeline, an ongoing collaborative initiative aimed at standardizing the processing, verification, and validation of nuclear data.
© The Authors, published by EDP Sciences, 2024
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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