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Collaborative Assessment of Research Data Infrastructure and Objectives (CARDIO)

Collaborative Assessment of Research Data Infrastructure and Objectives (CARDIO). JISC MRD International Workshop 29th March 2011. Introduction. Background to CARDIO tool Purpose Intended users Overview of tool Workflow Benefits Conclusions and Implications. CARDIO Purpose.

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Collaborative Assessment of Research Data Infrastructure and Objectives (CARDIO)

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  1. Collaborative Assessment of Research Data Infrastructure and Objectives (CARDIO) JISC MRD International Workshop 29th March 2011

  2. Introduction • Background to CARDIO tool • Purpose • Intended users • Overview of tool • Workflow • Benefits • Conclusions and Implications

  3. CARDIO Purpose • Integrating conceptual lessons and know-how from legacy tools • DRAMBORA, DAF, AIDA… • Meeting perception gaps in organisations’ data management provisions • Coordinating and systematising research data management maturity evaluation

  4. Who is CARDIO for? • Research coordinators: those seeking to facilitate research, and mediate between… • Infrastructural providers: those charged with providing services to support research data management • Researchers: interested in safeguarding their research data, but also defined by their responsibilities

  5. Knowledge Base • Aggregating examples of practice representative of range of maturities • Case studies • Formal preservation evaluations • Respondent data from existing tools • Current classifiers • Mandates • Policies • Activities • Resources • Risks

  6. Stages 3 leg stool model developed by University of Cornell

  7. Benefits • Limits demands on users (supporting customisable depth of inquiry) • Provides opportunities for collaborative aspects of data management • Provides assurances of infrastructural capacity • Offers warranted recommendations based on real-world evidence • Highlights areas where investment is best placed and limits redundancy of investment

  8. Lessons learned • Approaches must acknowledge the distribution of insights related to research data management • Expertise is not always easily traceable to individuals • Necessary to improve visibility of support and services and facilitate relationships • Reuse of existing knowledge about varying levels of best practice is essential

  9. Further Implications • CARDIO as the basis for institutional ‘health checks’ in forthcoming UMF/DCC work • Extension of knowledge-base to incorporate costs and legacy data from other tools/models • Knowledge-base as a shareable application-agnostic resource

  10. Thank You! • Visit the tool at http://cardio.dcc.ac.uk • Please contact us with feedback on the CARDIO tool • Knowledge base • andrew.mchugh@glasgow.ac.uk • Implementation support • sarah.jones@glasgow.ac.uk • joy.davidson@glasgow.ac.uk • e.pinsent@ulcc.ac.uk • Software: • brian.aitken@glasgow.ac.uk • patrick.mccann@glasgow.ac.uk

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