Managing research data – data management

As a researcher, it is of the utmost important that one manages data in a sound and proper manner throughout the research process.

Data management means that before you get started with your project and project application, you should consider how you are going to collect and process your research data.

In order to ensure that you have taken everything into account, it is a good idea to make a data management plan.

In addition, it is important that you correctly document your data.

This makes it easier for you as you proceed and it also makes it possible for your partners and others to understand your data.

The Danish National Archives also recommends that the individual research institutions prepare a data management policy which will provide a general overview of how the institutions’ research data are collected, documented, stored and communicated.

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  • Prepare a data management plan

    It is a really good idea to think about how you want to manage your research data early on in the project period – ideally, already in connection with your application for a grant or permit.

    A data management plan can help you keep track of your data throughout the process and help you to consider serious questions about how data will be managed.

    In other words, it’s a good idea to prepare your data management plan before you even get started on your project and then update it as needed throughout the project period.

    Data management planning tools

    Tools have been developed to help keep your data management plan on track, for example:

    DMP Online

    Alternatively, you can prepare your data management plan based on this checklist:

    Data management plan – a checklist (in Danish)

  • Document data

    In order to work effectively with the analysis of data from sources such as questionnaires, it is important that the documentation of data is structured in a systematic and careful manner.

    Read the Danish National Archives’ recommendations for how to structure and verify data documentation:

    Recommendations on how to structure and verify data documentation (in Danish)

  • Data management policy

    The Danish National Archives recommends that research institutions determine the principles for storing data material collection by the institution via the formulation of a data management policy.

    A data management policy should take into account a number of different factors. Read the Danish National Archives’ recommendations for a data management policy:

    Data management policy – a checklist (in Danish)

  • Free e-learning course on research data management

    At DeiC’s knowledge portal, you can find a free and open e-learning course on good research data management.

    The e-learning course has been developed within the framework of the Danish National Forum for Data Management as part of a collaboration between Danish universities, the Royal Danish Library and the Danish National Archives. The target group for the e-learning modules are PhD students, researchers and research staff, but the courses are available to all who have an interest in data and research.

    Three modules are offered: Module 1: An introduction to data management in the world of research, Module 2: FAIR principles and Module 3: Data management plans.