MaRDI-Gross: Managing Research Data Infrastructures – Big Science
Overview
Big Science’ - that is, facilities science with large data volumes and multi-national investments – handles its data differently from other disciplines. Largely because of the data volumes, the data management systems are typically and rationally bespoke, but this means that the planning for data management and preservation (DMP) must be bespoke, too. Combined with the technical sophistication of these scientific collaborations, this suggests that they need high-level DMP support, rather than detailed technical support and general-purpose repository software.
The MaRDI- Gross project will deliver this support, in the form of a methodological ‘toolkit’ targeted primarily at projects' engineering managers, but intending also to help funders collaborate on DMP plans which satisfy the requirements imposed on them.
Anticipated outputs and outcomes
We will produce support materials for the development of big-science DMP plans. We expect these to include (i) a rapid requirements analysis, (ii) support materials for supporting the developers of DMP plans, embedded within projects, and (iii) support materials for those (within or responsible to funders) who are required to assess the viability and quality of such plans
Technology / Standards
We expect to endorse (and help explicate) the OAIS standard (CCSDS 650.0 / ISO 14721)
Project Staff
Project Manager
Project Team
- Project leader: Roger Jones, Physics, University of Lancaster
- Juan Bicarregui, Brian Matthews & Simon Lambert - FC e-Science centre, RAL