Research Management » History » Version 23
Version 22 (Steve Welburn, 2012-11-19 12:52 PM) → Version 23/25 (Steve Welburn, 2012-11-19 12:53 PM)
h2. Research Management
The data management concerns of a PI will largely revolve around [[Before_The_Research|planning]] and appraisal of data management for research projects: to make sure that they conform with [[Research_data_policies|institutional policy]] and [[Research_Council_Requirements|funder requirements]]; and to ensure that the data management needs of the research project are met.
A [[Before_The_Research|data management plan]] (e.g. for use in a grant proposal) will show that you have considered:
* the costs of preserving your data;
* [[Research_Council_Requirements|funder requirements]] for data preservation and publication;
* institutional data management [[Research_data_policies|policy]]
* and ethical issues surrounding data management (e.g. data relating to human participants).
Specific areas to examine may include
* [[legislation|legalities]] (Freedom of Information, Copyright and Data Protection)
* covering the [[research council requirements]]
* data management [[During_The_Research|during the project]]
* [[Archiving_research_data|data archiving]]
* [[Publishing_research_data|data publication]]
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". learned"
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.
The data management concerns of a PI will largely revolve around [[Before_The_Research|planning]] and appraisal of data management for research projects: to make sure that they conform with [[Research_data_policies|institutional policy]] and [[Research_Council_Requirements|funder requirements]]; and to ensure that the data management needs of the research project are met.
A [[Before_The_Research|data management plan]] (e.g. for use in a grant proposal) will show that you have considered:
* the costs of preserving your data;
* [[Research_Council_Requirements|funder requirements]] for data preservation and publication;
* institutional data management [[Research_data_policies|policy]]
* and ethical issues surrounding data management (e.g. data relating to human participants).
Specific areas to examine may include
* [[legislation|legalities]] (Freedom of Information, Copyright and Data Protection)
* covering the [[research council requirements]]
* data management [[During_The_Research|during the project]]
* [[Archiving_research_data|data archiving]]
* [[Publishing_research_data|data publication]]
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". learned"
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.