Introduction » History » Version 1
Steve Welburn, 2013-01-07 02:17 PM
| 1 | 1 | Steve Welburn | 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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| 3 | 1 | Steve Welburn | 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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| 5 | 1 | Steve Welburn | We consider three stages of a research project, and the appropriate research data management considerations for each of those stages. The stages are: |
| 6 | 1 | Steve Welburn | * [[Before The Research|before the research]]; |
| 7 | 1 | Steve Welburn | * [[During The Research|during the research]]; |
| 8 | 1 | Steve Welburn | * [[At The End Of The Research|at the end of the research]]. |
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| 10 | 1 | Steve Welburn | In addition, we consider the [[Research Management|responsibilities of a Principal Investigator]] regarding data management. |
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| 12 | 1 | Steve Welburn | There is also an alternate view of the content based on individual [[Data_Management_Skills|research data management skills]]. |
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| 14 | 1 | Steve Welburn | These online materials are an output of the JISC-funded [[SoDaMaT_Project|Sound Data Management (SoDaMaT) project]]. |