Research Management » History » Version 7
Steve Welburn, 2012-11-19 11:19 AM
1 | 1 | Steve Welburn | h2. Research Management |
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2 | 1 | Steve Welburn | |
3 | 2 | Steve Welburn | The data management concerns of a PI will largely revolve around planning and appraisal of data management for research projects - both to make sure that they conform with institutional and "funder requirements":http://researchonline.lshtm.ac.uk/208596/ and to ensure that the data managment needs of the research project are met. |
4 | 1 | Steve Welburn | |
5 | 7 | Steve Welburn | Creating a data management plan for use in a grant proposal should show that you have considered: |
6 | 7 | Steve Welburn | * the costs of preserving your data; |
7 | 7 | Steve Welburn | * "funder requirements":http://researchonline.lshtm.ac.uk/208596/ for data preservation and publication; |
8 | 7 | Steve Welburn | * institutional requirements; |
9 | 7 | Steve Welburn | * and ethical issues surrounding data management (e.g. data relating to human participants). |
10 | 7 | Steve Welburn | |
11 | 7 | Steve Welburn | The "DCC DMP Online":https://dmponline.dcc.ac.uk/ tool provides a series of questions which allow the user to build a data management plan which will match research council requirements. |
12 | 7 | Steve Welburn | |
13 | 1 | Steve Welburn | Areas of interest may involve: |
14 | 1 | Steve Welburn | * [[legislation|legalities]] (Freedom of Information, Copyright and Data Protection) |
15 | 6 | Steve Welburn | * data management plan |
16 | 5 | Steve Welburn | ** covering the [[research council requirements]] |
17 | 5 | Steve Welburn | ** [[During_The_Research|during the project]] |
18 | 1 | Steve Welburn | ** [[Archiving_research_data|data archiving]] |
19 | 1 | Steve Welburn | ** [[Publishing_research_data|data publication]] |
20 | 1 | Steve Welburn | * After the project is completed, an appraisal of how the data was managed should be carried out as part of the project's "lessons learned" |
21 | 1 | Steve Welburn | |
22 | 3 | Steve Welburn | Data management training should provide an overview of all the above, and keep PIs informed of any changes in the above that affect data management requirements. |