Research Management » History » Version 18

Steve Welburn, 2012-11-19 12:51 PM

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h2. Research Management
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The data management concerns of a PI will largely revolve around [[Before_The_Research|planning]] and appraisal of data management for research projects - both 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.
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A [[Before_The_Research|data management plan]] (e.g. for use in a grant proposal) will show that you have considered:
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* the costs of preserving your data;
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* [[Research_Council_Requirements|funder requirements]] for data preservation and publication;
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* institutional data management [[Research_data_policies|policy]]
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* and ethical issues surrounding data management (e.g. data relating to human participants).
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Areas of interest may involve:
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* [[legislation|legalities]] (Freedom of Information, Copyright and Data Protection)
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* data management plan
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** covering the [[research council requirements]]
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** [[During_The_Research|during the project]]
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** [[Archiving_research_data|data archiving]]
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** [[Publishing_research_data|data publication]]
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* 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"
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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.