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Research data management听(RDM) concerns the organisation of data, from its entry to the research cycle through to the dissemination and archiving of valuable results (for a more comprehensive overview, see this ). It is part of the research process, and aims to make the research process as efficient as possible, and meet expectations and requirements of the university, research funders, and legislation.
RDM 听concerns how you:
- Create听data and plan for its use,
- Organise, structure, and name data,
- Keep听it 鈥� make it secure, provide access, store and back it up,
- Find听information resources, and听share听with collaborators and more broadly, publish and get cited.听
Writing a data management plan (DMP) enables the researcher to think about data from a holistic perspective, by thinking about questions and scenarios before they arise.听Writing a DMP will enable you to: make听decisions on how you will 1. create, organize, document, store and backup听your data; 2. document your ethical听and legal obligations; 3. decide how you will share, archive and preserve your data over the longterm; and 4. meet grant requirements and/or produce a more competitive grant application. Careful听planning听will reduce the risk of data loss and improve the overall efficiency of a project.
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Personalized听Support
Contact us if you want to have an informal, one-to-one chat about the data you鈥檙e working with, what you鈥檇 like to be able to do with it, and your longer term plans. You might learn how to do more with your data, find out about new tools and services, or discuss ways of meeting funding body requirements 鈥� whatever鈥檚 most useful and most relevant.听We provide RDM听support, including support in听writing DMPs for grant applications, intellectual property rights advice and information materials.听
If you鈥檇 like to find out more about the support that鈥檚 available for managing your research data, why not rdm.library [at] mcgill.ca (subject: Data%20Management%20Support) (make an appointment with us)?
DMP Template Tools
Several tools have been developed that include听templates that reflect criteria to meet funding requirements, and can help design a plan that is relevant to data in your research domain. These include:
- 听-听an online tool designed to help Canadian academic researchers develop and implement research DMPs. The tool is bilingual and includes a customized version for 捆绑SM社区 researchers.
- 听-听produced by the UK's Digital Curation Centre to help research teams write DMP.
- 听-听provides detailed guidance and links to general and institutional resources and walks a US based researcher through the process of generating a听DMP.
Learn More
You don't have to rely听on a听template tool.听Learn more about writing a听DMP by reviewing these resources:
- Institutional resources:
- 捆绑SM社区 RDM Online Learning Course - Learn more at the 捆绑SM社区 Digital Research Services (DRS) Hub site
- 捆绑SM社区 DMP Writing Library Workshop -
- External resources:
- DataOne -
- DataOne - 听
- Digital Curation Centre (UK) -听听
- Digital Curation Centre (UK)听-听听
- DMPTool (US) -听
- Interuniversity Consortium for Political and Social Research听(ICPSR) -听听
- Interuniversity Consortium for Political and Social Research听(ICPSR)听-
- 听-听a free online course for听post-graduate students,听early career researchers, and听those who manage digital data as part of their research project
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Guiding documents
Government of Canada (2021)
Government of Canada (2016)听.
OECD听(2007),听, OECD Publishing, Paris.
DOI:听
捆绑SM社区 (2011) Regulation on the conduct of Research. Section 4. Research Data.
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