Data Management
Data Management Plan
Data Management
Data Management Plan
A data management plan is a living document
A DMP is meant to be an agile document that changes and develops with your research. The research process is rarely linear and therefore the DMP cannot be written as a static plan to follow. The DMP will help you structure, reflect and improve on your data handling process and should be updated continuously through your entire project.
On this page you can find local and national resources to help you understand and make your own data management plan.
Advise for your data management plan
- Start your DMP as early as possible, and remember you don’t write a finished plan from day one. Your DMP will change over time to reflect how much you know and the changes in your project.
- Use a DMP-template to ensure that you cover all relevant topics. Be aware that some funders require that you use a specific template.
- Work with your DMP in a structured way that makes sense for you and your research process. Remember to regularly update your DMP so it reflects changes or new decisions.
- Argue for your choices. Describe why you have chosen to handle the data in that exact way.
Assistance and workshops
CLAAUDIA’s data management team is ready to assist you. CLAAUDIA will review and give you feedback on your DMP at any stage, and they can offer to do a workshop on DMPs, the practical use of DeiC DMP and the connection to the FAIR principles.
Talk to CLAAUDIA
CLAAUDIA is a specialized team of data scientists, data managers and data stewards within ITS who provide access and support for a line of virtual services to researchers as well as assistance in data management planning, active data handling, data publishing and data archiving.