The ADMIRe Project and Institutional Research Data Management Stephen Pinfield, CIO Caroline...
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Transcript of The ADMIRe Project and Institutional Research Data Management Stephen Pinfield, CIO Caroline...
The ADMIRe Project and Institutional Research Data Management
Stephen Pinfield, CIO
Caroline Williams, Director of Research & Learning Resources
RLUK March 2012
‘Data deluge’ creating major challenges:•Strategy: leveraging benefits for the research community and beyond•Governance: decision-making and accountability•Ethical: collection, management, analysis of data•Risk management: including problems associated with data loss•Technical: storage, retrieval of data•Preservation: policy and technical issues around longevity•Sharing: among collaborators, and more widely•Reuse: allowing for third party mining, analysis, recombination•Compliance: demonstrating compliance with funder and other policy requirements
2
National and international environment
Specific drivers: external (& internal)
• Growth in compute power and data generation (& local HPC, data storage and e-Workbook projects)
• Research Council policies and requirements (& institutional policy requirement and roadmap)
• “Climategate” (& our own internal audit findings)
• Open agenda (& Open Nottingham)
• Role of library and IT services in managing institutional information assets (& Nottingham IS in providing join up)
• Governance questions (& recent governance changes with a direct line into Management Board and the Research Board)
ADMIRe aims to …Develop an infrastructure to support the research data lifecycle, acknowledging & responding to differing practices across disciplines. Steered by a research data
management policy endorsed at the highest level.
In order to …
1.Improve research data management capability
2.Extend opportunities for data reuse
3.“Open up” research data
We are/will …
1.Adopt and encourage national standards
2.Work across University boundaries and committees
3.Use existing expertise from within and without
Project Components
Staffing Structure
Status
• High level and cross-IS support and involvement
• Research committee support
• High-level Steering Committee
• Cross-faculty pilots identified and commencing
• Recruited project team
• Regular internal meetings
• High level Research Data Management policy
• Data classification scheme
• Progress with data security
Challenges• Who owns managing research data? (PIs, Research Office, IT,
Library)
• Resource requirements for set-up and maintenance of RDM infrastructure
• Staff knowledge, skills and cultures
• Speaking the same language (disciplines, across and within support services)
• Complexity (across disciplines) and scale (across research groups and the institution)
• Engagement (from researchers, support services, and governance groups)
Questions, reflections and comments?