I’m starting to work more with Data Management Plans (DMPs) which are required by some funders and might well be a good idea for most researchers anyway.
We’re looking at DMPonline by the Digital Curation Centre for creating them and what local customisations we want to make.
I’m also starting to look at DMP Rubrics and the DART project’s Data Management Plans as A Research Tool at Oregon State University which I hope to continue discussing at RDMF15: The Compliance of Science? Data Policies, Expectations and Concordat in London on 27th April 2016.
The basic idea as far as I grasp it is a checklist or procedure for evaluating DMPs.
I’m starting to think of various reasons to have a DMP and to evaluate it:
- To get funding – making an application
- Good enough to pass
- Have a competitive advantage over others
- To improve research practice
- To check what promises are being made and who is responsible for them
- To plan future for research data repository needs
I see the promise checking almost as colouring in a plan with who will be doing what and spotting any blank bits.
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