Sound Data Management Training » History » Version 102

Steve Welburn, 2012-11-19 05:45 PM

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h1. Sound Data Management Training
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{{>toc}}
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Managing research data is basic good practice. It ensures your research data is available to complete the project, reducing risk in the project; and preserves your research for future use after the project is complete, increasing the impact of the project. In addition, good research data management will ensure that: you comply with [[Research_Council_Requirements|funder]] and [[Research_data_policies|institutional]] requirements; and consider the ethical and [[Legislation|legal]] implications related to your research data.
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There are [[Evidence Promoting Good Data Management|many counter-examples]] showing that poor research data management can result in lost research. Additionally, there are the success stories where good research data management has allowed research to continue after disasters.
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We consider three stages of a research project, and the appropriate research data management considerations for each of those stages. The stages are:
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* [[Before The Research|before the research]];
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* [[During The Research|during the research]];
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* [[At The End Of The Research|at the end of the research]].
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In addition, we consider the [[Research Management|responsibilities of a Principal Investigator]] regarding data management.
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There is also an alternate view of the content based on individual [[Data_Management_Skills|research data management skills]].
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{{include(Data Management By Research Stage)}}
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h2. [[Further Reading Material]]