Introduction » History » Version 4

Steve Welburn, 2013-02-17 07:11 PM

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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 Concerns|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]] and a summary of [[Data management resources|data management resources]] available to C4DM researchers.
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These online materials are an output of the JISC-funded [[SoDaMaT_Project|Sound Data Management Training (SoDaMaT) project]].