Computing in High Energy and Nuclear Physics (CHEP) 2012

MARDI-Gross - Data Management Design for Large Experiments

22 May 2012, 13:30

4h 45m

Rosenthal Pavilion (10th floor) (Kimmel Center)

Poster Distributed Processing and Analysis on Grids and Clouds (track 3) Poster Session

Speaker

Prof. Roger Jones (Lancaster University (GB))

Description

MARDI-Gross builds on previous work with the LIGO collaboration, using the ATLAS experiment as a use case to develop a tool-kit on data management for people making proposals for large High Energy Physics experiments, as well a experiments such as LIGO and LOFAR, and also for those assessing such proposals. The toolkit will also be of interest to those in the active data management for new and current experiments.

Summary

Data management and data preservation in science has moved from an issue for projects to a matter for public discussion. Citizen science and public access to public data have joined outreach, education, long-term data archival and analysis in the afterlife of collaborations as major items. Accordingly, research funding agencies are introducing data management policies that make far greater demands than before.

MARDI-Gross builds on previous work with the LIGO collaboration, using the ATLAS experiment as a use case to develop a tool-kit on data management for people making proposals for large High Energy Physics experiments, as well a experiments such as LIGO and LOFAR, and also for those assessing such proposals. The toolkit will also be of interest to those in the active data management for new and current experiments.