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.
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.