Difference between revisions of "CARDIO"

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|purpose=CARDIO is a benchmarking tool for data management strategy development
 
|purpose=CARDIO is a benchmarking tool for data management strategy development
|image=
 
 
|homepage=http://cardio.dcc.ac.uk
 
|homepage=http://cardio.dcc.ac.uk
|license=
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|function=Planning, Data Management Planning, Organisational Audit
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|content=Research Data
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{{Infobox tool details
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|ohloh_id=CARDIO
 
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[[Category:Planning]]
 
[[Category:Data Management Planning]]
 
[[Category:Research Data]]
 
 
 
 
= Description =
 
= Description =
 
The Collaborative Assessment of Research Data Infrastructure and Objectives&nbsp;[http://cardio.dcc.ac.uk (CARDIO)] tool  was developed&nbsp;through the JISC-funded Integrated Data Management Planning (IDMP) Toolkit and Support project.
 
The Collaborative Assessment of Research Data Infrastructure and Objectives&nbsp;[http://cardio.dcc.ac.uk (CARDIO)] tool  was developed&nbsp;through the JISC-funded Integrated Data Management Planning (IDMP) Toolkit and Support project.
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= Development Activity =
 
= Development Activity =
 
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|ohloh_id=CARDIO
 
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Latest revision as of 19:10, 20 April 2021





CARDIO is a benchmarking tool for data management strategy development
Homepage:http://cardio.dcc.ac.uk
Function:Planning,Data Management Planning,Organisational Audit
Content type:Research Data
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Description[edit]

The Collaborative Assessment of Research Data Infrastructure and Objectives (CARDIO) tool was developed through the JISC-funded Integrated Data Management Planning (IDMP) Toolkit and Support project. CARDIO is a benchmarking tool for data management strategy development, typically applied at the departmental or research group level. The tool blends key aspects of the Cornell three-legged stool model, DAF, AIDA, DRAMBORA, and DMP and draws upon the legacy data within these tools to provide users with practical recommendations for improvement based on real-life examples. " CARDIO enables you to:

  • collaboratively assess data management requirements, activity, and capacity at your institution
  • build consensus between data creators, information managers and service providers
  • identify practical goals for improvement in data management provision and support;
  • identify operational inefficiencies and opportunities for cost saving;
  • make a compelling case to senior managers for investment in data management support

User Experiences[edit]

Development Activity[edit]