EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 337 (2025) EPJ Web Conf., 337 (2025) 01018 References
Open Access
Issue
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
Article Number 01018
Number of page(s) 8
DOI https://doi.org/10.1051/epjconf/202533701018
Published online 07 October 2025
  1. ESCAPE project home page, https://projectescape.eu/ [Google Scholar]
  2. ESCAPE Open Collaboration Agreement document, https://indico.in2p3.fr/event/27202/contributions/109871/attachments/70182/99379/ESCAPE-Collab-Agree-210422.pdf [Google Scholar]
  3. DAC21 - Data and Analysis Challenge (Nov 21), https://indico.in2p3.fr/event/23970/contributions/94375/attachments/63654/87694/ESCAPE-TechCoord-WP2-2nd-Phase-DAC21.pdf [Google Scholar]
  4. M. Barisits, T. Beermann, F. Berghaus, et al., Rucio: Scientific Data Management. Comput Softw Big Sci 3, 11 (2019). http://dx.doi.org/10.1007/s41781-019-0026-3 [Google Scholar]
  5. R. Di Maria, R. Dona, on behalf of the ESCAPE project, ESCAPE Data Lake - Nextgeneration management of cross-discipline Exabyte-scale scientific data, EPJ Web Conf., 251 02056 (2021). DOI:https://doi.org/10.1051/epjconf/202125102056 [Google Scholar]
  6. R. Dona, R. Di Maria, on behalf of the ESCAPE project, The ESCAPE Data Lake: The machinery behind testing, monitoring and supporting a unified federated storage infrastructure of the exabyte-scale, EPJ Web Conf., 251 02060 (2021). DOI:https://doi.org/10.1051/epjconf/202125102060 [Google Scholar]
  7. EOSC Future, https://eoscfuture.eu/ [Google Scholar]
  8. ESCAPE EOSC-Future Science Projects, https://escape2020.pages.in2p3.fr/virtual-environment/home/ [Google Scholar]
  9. Reproducible VRE analyses and ESCAPE EOSC-Future projects, https://github.com/vre-hub/science-projects/ [Google Scholar]
  10. FAIR principles, https://www.go-fair.org/fair-principles/ [Google Scholar]
  11. Kubernetes, https://kubernetes.io/ [Google Scholar]
  12. OpenStack, https://www.openstack.org/ [Google Scholar]
  13. Helm, https://helm.sh/ [Google Scholar]
  14. The VRE GitHub repository, https://github.com/vre-hub/vre [Google Scholar]
  15. Flux, https://fluxcd.io/ [Google Scholar]
  16. Sealed secrets, https://fluxcd.io/flux/guides/sealed-secrets/ [Google Scholar]
  17. VRE documentation site, https://vre-hub.github.io/ [Google Scholar]
  18. E. Gazzarrini, E. García-García, D. Gosein, and X. Espinal, The Virtual Research Environment: A multi-science analysis platform. EPJ Web of Conferences 295, 08023 (2024). https://doi.org/10.1051/epjconf/202429508023 [Google Scholar]
  19. ESCAPE INDIGO IAM documentation, https://indigo-iam.github.io/escape-docs/ [Google Scholar]
  20. WLCG Common JWT Profiles, https://zenodo.org/records/3460258 [Google Scholar]
  21. JupyterHub, https://jupyterhub.readthedocs.io/en/stable/ [Google Scholar]
  22. JupyteLab, https://jupyterlab.readthedocs.io/en/latest/ [Google Scholar]
  23. Docker, https://www.docker.com/ [Google Scholar]
  24. CVMFS, https://cvmfs.readthedocs.io/en/stable/ [Google Scholar]
  25. CEPH File System, https://docs.ceph.com/en/reef/cephfs/ [Google Scholar]
  26. EOS, https://eos-web.web.cern.ch/eos-web/ [Google Scholar]
  27. FTS3, https://fts.web.cern.ch/fts/ [Google Scholar]
  28. GFAL2, https://dmc-docs.web.cern.ch/dmc-docs/gfal2/gfal2.html [Google Scholar]
  29. Reana, https://reanahub.io/ [Google Scholar]
  30. The Reana VRE instance, https://reana-vre.cern.ch/ [Google Scholar]
  31. Rucio JupyterLab extension, https://github.com/rucio/jupyterlab-extension [Google Scholar]
  32. Google Summer of Code (GSoC), https://summerofcode.withgoogle.com/ [Google Scholar]
  33. Reana JupyterLab extension, https://github.com/vre-hub/reana-jupyterlab-extension [Google Scholar]
  34. CERN summer student programmes, https://careers.cern/summer [Google Scholar]
  35. Reana server library, https://reana-server.readthedocs.io/en/latest/ [Google Scholar]
  36. Reana clients library, https://reana-client.readthedocs.io/en/latest/ [Google Scholar]
  37. Zenodo JupyterLab extension, https://github.com/vre-hub/zenodo-jupyterlab-extension [Google Scholar]
  38. Zenodo, https://zenodo.org [Google Scholar]
  39. Zenodo REST API endpoints, https://developers.zenodo.org/ [Google Scholar]
  40. The eOSSR client library, https://escape-ossr.gitlab.io/eossr/README.html [Google Scholar]
  41. The ESCAPE OSSR, https://projectescape.eu/services/open-source-scientific-software-and-service-repository-ossr [Google Scholar]
  42. ) The ESCAPE Zenodo Community, https://zenodo.org/communities/escape2020 [Google Scholar]
  43. VRE demo video, https://www.youtube.com/watch?v=wCEM-N_TL7A&ab_channel= EnriqueGarc%C3%ADa [Google Scholar]
  44. Reproducible analysis of the ET MDC data demo, https://github.com/GeorgySk/et_ mdc_pygwb/tree/a398a7bd6f9c4f636d560ecdc9694698db33ed77 [Google Scholar]
  45. Distributed Data Management with Rucio for the Einstein Telescope, https://indico. cern.ch/event/1338689/contributions/6010882/ [Google Scholar]
  46. ET Introduction Mock Data Challenge, https://agenda.infn.it/event/38405/contributions/218806/ [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.