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The CMS approach to Analysis Preservation

Authors: Lloret Iglesias Lara;

The CMS approach to Analysis Preservation

Abstract

The CERN analysis preservation portal (CAP) comprises a set of tools and services aiming to assist researchers in describing and preserving all the components of a physics analysis such as data, software and computing environment. Together with the associated documentation, all these assets are kept in one place so that the analysis can be fully or partially reused even several years after the publication of the original scientific results. An experimentspecific submission and retrieval interface has been developed for the CMS Collaboration. It integrates with the CMS internal analysis registry (CADI) to capture all analyses with basic information, complemented with a detailed submission form for full information. The CMS data aggregation system (DAS) is interfaced to the deposit form to assist in filling in exact dataset names used in the analysis to ensure searchability. Efforts are ongoing to describe physics content for an intelligent retrieval, and to interface with container solutions for full reproducibility for selected test cases.

Keywords

Physics, QC1-999

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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EGI : advanced computing for research