Data Preservation and Long Term Analysis in High Energy Physics
David M. South

TL;DR
This paper discusses the importance and challenges of preserving high energy physics data for long-term analysis, emphasizing the need for planning and guidelines to ensure data remains accessible and useful after experiments conclude.
Contribution
It provides an overview of ongoing efforts and guidelines for effective data preservation in high energy physics, based on workshops and collaborative study groups.
Findings
Identification of key areas for data preservation
Recognition of challenges without proper planning
Development of guidelines for future efforts
Abstract
High energy physics data is a long term investment and contains the potential for physics results beyond the lifetime of a collaboration. Many existing experiments are concluding their physics programs, and looking at ways to preserve their data heritage. Preservation of high-energy physics data and data analysis structures is a challenge, and past experience has shown it can be difficult if adequate planning and resources are not provided. A study group has been formed to provide guidelines for such data preservation efforts in the future. Key areas to be investigated were identified at a workshop at DESY in January 2009, to be followed by a workshop at SLAC in May 2009. More information can be found at http://dphep.org
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Taxonomy
TopicsBig Data Technologies and Applications · Particle physics theoretical and experimental studies · Distributed and Parallel Computing Systems
