Data Preservation in High Energy Physics: Global Report 2026
Abstract
This document summarizes the contributions to the 5th DPHEP workshop March 5-6, 2026, CERN, and reflects the advancements since 2024, as well as future milestones and tendencies. Impressive progress in HEP data preservation is observed. Legacy data revival was showcased through successful reanalysis of archived data using contemporary methods, demonstrating the long-term scientific value of preservation. Sustainability challenges were noted, emphasizing the need for long-term funding and institutional support to maintain data preservation infrastructure, particularly for legacy experiments transitioning to archival modes. Innovative transverse projects display constant progress towards common technologies for a robust and transferrable DP. In particular, there is a clear shift toward automation, with increasing use of AI and machine learning for data curation, metadata extraction, and workflow optimization. Open science momentum is growing, with wider adoption of FAIR principles and open data policies, and experiments committing to public releases.
Cite
@article{arxiv.2607.06775,
title = {Data Preservation in High Energy Physics: Global Report 2026},
author = {Matthew Bellis and Jamie Boyd and Daniel Britzger and Andy Buckley and Chris Burr and Micheal Buchar and Gang Chen and Andrew Chisholm and Jiri Chudoba and Michael Davis and Cristinel Diaconu and David Dobrigkeit Chinellato and Marcus Ebert and Apranik Fatehi and Dillon S. Fitzgerald and Jose Benito Gonzalez Lopez and Richard William Gran and Giovanni Guerrieri and Martin Habedank and Hao Hu and David Horvat and Luka Lambrecht and Clemens Lange and Kati Lassila-Perini and Jerome Lauret and Jean-Yves Le Meur and Dietrich Liko and Panna Liptak and Zach Marshall and Thomas McCauley and Cameron Duncan McClymont and Wesley Middelbos and Micha Moskovic and Piet Nogga and Ryunosuke O'Neil and Stefano Piano and Alan Price and Tomasz Procter and Fazhi Qi and Diana Rand and Hossein Rashidi and Emily Rensch and Pablo Saiz and Ulrich Schwickerath and Tibor Šimko and Andrii Verbytskyi and Dirk Zerwas and Zhengde Zhang and Graham Wilson},
journal= {arXiv preprint arXiv:2607.06775},
year = {2026}
}
Comments
59 pages; 35 figures