| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 04021 | |
| Number of page(s) | 6 | |
| Section | 4 - Data Organisation, Management and Access | |
| DOI | https://doi.org/10.1051/epjconf/202024504021 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024504021
Development of the Dataset Searcher Webapp for finding data on the Belle II computing grid
University of Melbourne, Australia
* e-mail: khsmith@student.unimelb.edu.au
** e-mail: david.dossett@unimelb.edu.au
*** e-mail: martines@unimelb.edu.au
Published online: 16 November 2020
In any large scale scientific experiment involving enormous quantities of data it is crucial that everyone involved has quick and easy access to all the relevant datasets for their research. By the end of the run time of the Belle II experiment there will be a projected 50 ab−1 of integrated luminosity making it no exception. Until now the only method for locating data of interest was by looking up hand written tables that needed to be regularly updated. In this paper, a new webapp built on the DIRAC software framework will be presented which aims to be the new standard for not only locating data but also storing all its associated metadata.
© 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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