Speaker
Description
The preservation and reuse of analyses require access to the virtual environment, code, data, and workflow configuration that was used to produce the original results. We are developing a set of tools that will support researchers in preserving the knowledge around analyses so that capturing, sharing and reusing becomes easier.
The presentation will demonstrate the nascent CERN Analysis Preservation platform which is a pilot project aiming at preserving individual analyses in LHC collaborations. We describe the overall architecture of the platform and the underlying JSON based structure capturing the analysis and the detailed information about environment, code, and data. We discuss the high-level information about final state particles in
view of future intelligent semantic searches and the connection between the underlying JSON format and LHADA(-type) analysis descriptions.
The community input on the expected use cases of the CERN Analysis Preservation platform and on the core components constituting a physics analysis, as needed for reuse and reinterpretation, will be the most welcome.
