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Preserving and reusing high-energy-physics data analyses

The revalidation, reuse and reinterpretation of data analyses require having access to the original virtual environments, datasets and software that was used to produce the original scientific result. The CERN Analysis Preservation pilot project is developing a set of tools that support particle phy...

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Detalles Bibliográficos
Autores principales: Simko, Tibor, Dallmeier-Tiessen, Sunje, Dasler, Robin, Fokianos, Pamfilos, Kuncar, Jiri, Lavasa, Artemis, Mattmann, Annemarie, Rodriguez, Diego, Trzcinska, Anna, Tsanaktsidis, Ioannis
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2273322
Descripción
Sumario:The revalidation, reuse and reinterpretation of data analyses require having access to the original virtual environments, datasets and software that was used to produce the original scientific result. The CERN Analysis Preservation pilot project is developing a set of tools that support particle physics researchers in preserving the knowledge around analyses so that capturing, sharing, reusing and reinterpreting data becomes easier. In this talk, we shall notably focus on the aspects of reusing a preserved analysis. We describe a system that permits to instantiate the preserved analysis workflow on the computing cloud, paving the way to allowing researchers to revalidate and reinterpret research data even many years after the original publication.