Data Management
Introduction to Data management
Data Management
Introduction to Data management
Responsible conduct of research
To make your research time-efficient, reproducible and safe, it is important to think about technical, ethical, organizational, structural and sustainable aspects during the research process. A way of doing so is by planning how to handle these aspects.
Responsible conduct of research includes proper management of primary materials and data. The key purpose of data management is to guarantee credible and transparent research
Research Data Lifecycle
The following lifecycle shows an example of how to work with data management aspects in the different phases in a reserach activity.
Benefits of good data management
o Helps you structure the data
o Increase your efficiency and saves time in the long run
o Makes it easier to collaborate with partners
o Make the research more transparent, reliable and reproducible
o Makes the research more visible and potentially lead to more citations
o Reduce the risk of losing data or disclosing confidential data
AAU's policy for research data management
What is research data management
What is good data management practice
How to publish data
Data handling practice in applications
What is FAIR
How to make your data interoperable
Support
If you need any help you can get support through the CLAAUDIA team. CLAAUDIA can help you with the handling of your research data (planning, organisation, documentation, storage and and preservation) during and after a research activity. For all questions and requests please contact us through the AAU service portal.