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Data Management

  • Information about data management for researchers

What does a good data management plan look like?

A good data management plan (DMP) describes the workflow that data undergoes in a large or small research project. It could be a specific requirement from a funder that a DMP should accompany an application, but it is generally a good idea to consider how you expect to collect, store and archive/publish data.

A good DMP is a living document, which is updated throughout the research process and can, among other things, be used to:

  • organise and structure data
  • document data provenance
  • avoid data loss
  • make research results reproducible
  • make it easier to reuse data in other projects    

DMP Online  

DMP Online is a tool that guides researchers through the creation of a data management plan. In collaboration with Aarhus University, AU Library offers support in DMP Online.

How do you store your data?

Your choice of storage solution can be dependant on several factors. You should, for example, consider the following:

  • Have specific data storage requirements been made by the institution or the funder?
  • Is there an obligation to notify the Danish National Archives?
  • Finance – have funds been earmarked in the budget, or do you need to find a free solution?
  • The type of data – some data repositories are targeted at specific disciplines, others are generic solutions

Read more about the procedures for reporting to the Danish National Archives.

Aarhus University offers a range of data storage options:

Other repositories

In addition to the possibilities offered by AU, you can also find a number of general and specific repositories for storing/archiving data.

Which platforms can you use for collaboration and for sharing data?

We have compiled a list of tools and platforms, that you can use to publish, collaborate on and share your data. This includes examples of licenses for your data.

Which tools can you use for data analysis?

There are many programs you can use for data analysis. Find examples of free programmes that are suitable for analysing different types of data.

FAIR principles

The FAIR data principles are a set of guiding principles for making data Findable, Accessible, Interoperable and Reusable.

Read more about the FAIR principles

Illustration from: Implementing the FAIR Data Principles: The Role of Libraries. Liber Images in the FAIR Data graphic are from Digitalbevaring.dk / Jørgen Stamp (CC BY 2.5 Denmark license)

Data Management and Open Science support

  • AU Library supports good data management practice at Aarhus University
  • The library offers support to researchers and students on the handling of research data, supervision, planning and sharing of data throughout the research process  

Need help?

If you have any questions or concerns, feel free to contact the liason librarian associated with your field, who will be happy to assist you with your questions.

Alternatively, you are always welcome to contact your local library.