PATOF – From the PAst TO the Future: Legacy Data in Small and Medium-Scale "PUNCH" Experiments – a Blueprint for PUNCH and Other Disciplines
Year: 2025
Type: article
Abstract: Data from the “PUNCH” (Particles, Universe, NuClei & Hadrons) disciplines particle / astroparticle / hadron & nuclear physics, and astronomy are valuable and often allow for new scientific insights not expected during an experiment’s lifetime. The PUNCH disciplines are very experienced in data management, largely due to early digital data acquisition systems, high data rates & volumes to be managed, and globally distributed user communities.The experiment and strategy of metadata management from PUNCH will be utilized in the PATOF project and we will go beyond. As the DESY library, we provide a “cookbook” capturing the conceptual methodology for making individual experiment-specific data FAIR and describing a “FAIR Metadata Factory”, i.e. a process to create a naturally evolved metadata schema by extending the last version of the DataCite metadata schema without discarding the original individual metadata concepts.
Author: Hu, Ding-Ze
Institution: Deutsches Elektronen-Synchrotron DESY
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7084890027
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