Learn to write your DMP (online training)

Are you new to writing Data Management Plans? Or do you want to refresh your memory? This self-paced online training can help you with planning your research data management. 

A Data Management Plan (DMP) is a living document that outlines all aspects of managing your research data, such as how you collect, structure, protect, store, document and share the data. In this self-paced, online training, you will learn to write your DMP step-by-step, guided by text, videos, and interactive exercises. 

In this course, you will learn how to write all sections of your DMP, including: 

  • Collect your data 

  • Structure your data and use sustainable data formats 

  • Take into account legal issues and data security 

  • Store your data safely 

  • Document your data with documentation and metadata 

  • Share your data with others 

  • License your data 

  • Preserve your data and make them FAIR 

Prerequisites 

No prerequisite knowledge is required to access this course. All you need is a Solis ID or ULearning account, and an internet connection. 

Costs 

There are no costs associated with this course. 

Access the course 

  • If you work or study at Utrecht University and have a SolisID, you can log in with your institutional account. 

  • If you work outside Utrecht University and/or do not have a SolisID, please contact RDM Support to obtain access to the course. 

Access the course here

Credits 

PhD candidates at Utrecht University can receive 0.5 ECTS after finishing the course. 

Contact 

If you have questions about this course, please contact us via info.rdm@uu.nl. 

More information 

Would you would like to attend an in-person training on research data management? You might find our Quickstart to Research Data Management workshop interesting as well.  

For more information, please visit our guide on Data Management Planning or ask us to review your DMP after you write it. If you have any remaining questions, please feel free to come by our weekly Walk-In Hours for Research Data & Software.