If you are getting started with Research Data Management (RDM), this guide has the resources you need about data management best practices and how to get started with data management plans (DMPs).
The DMP Assistant is a great tool to get started with writing you DMP. Its template will help you scaffold and plan how you will organize, manage, and share your data.
A Data Management Plan (DMP) is a document that outlines what you will do with your data. It is separate from the data itself, and it is a living document. A DMP details:
The Portage DMP Assistant tool has guiding questions for each of these categories to help your DMP be strong.
A Data Management Plan is not just another required document designed to take time away from the research itself! A good DMP:
This video shows a case of poor research data management to illustrate why having and following a good DMP is important:
When you're getting started with your DMP, think about:
This is the basic information that your DMP will cover.
The FAIR Guiding Principles for Scientific Data Management and Stewardship provide guidelines to make data Findable, Accessible, Interoperable, and Reusable. Making your data FAIR will increase your data's reproducibility.
Source: GoFAIR (n.d.). FAIR Principles. https://www.go-fair.org/fair-principles/
It seems simple, but having a set structure for how you name and organize your files can save you a great deal of time and energy down the road. There's not one right way to do this, but here are some suggestions:
Collections of DMPs:
Questions? Need help with your DMP or storage? Have a suggestion for this guide? Please get in touch!
Unless stated otherwise, this guide is licensed under a Creative Commons Attribution 4.0 International License.