Are you missing a guide, or do you have additional questions? We are looking forward to helping you.
Guides
Guides
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Data Management
How and when to plan your data handling. The guide contains a list of key elements to consider when you create a data management plan.
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Expose your research data at VBN
There are many ways to expose your research data, but always make sure that you register them in VBN. This will ensure that your research data is exposed in your personal profile, the department page etc. And data sets can be linked to publications etc.
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FAIR principles Introduction
The FAIR principles were first published in 2016. They contain guidelines for good data management practice that aim at making data FAIR: Findable, Accessible, Interoperable and Reusable. Each letter refers to a list of principles with a total of 15 principles altogether.
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FAIR principles part 1: Findable
The first letter in FAIR is F for Findable. Read this guide to become familiar with what findable means.
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FAIR principles part 2: Accessible
The second letter in FAIR is A for Accessible. Read this guide to become familiar with what accessible means, and why it is not the same as open data.
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FAIR principles part 2: Interoperable
The third letter in FAIR is I for Interoperable. Read this guide to become familiar with what interoperable means, and why it is important, but may be hard to achieve.
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FAIR principles part 4: Reusable
The fourth letter in FAIR is R for Reusable. Read this guide to become familiar with what reusable means, both in terms of academic reuse options and legal matters.
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Fixing slow data processing
"My data processing runs too slow on my computer"-problem. This is a problem many researchers face during data processing. But while the problem is clear and may affect the researchers productivity and quality of results, the solution is seldom straightforward.
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Research Data Alliance (RDA)
If you find yourself looking for like minded people on the handling of research data, you will have a good opportunity in the Research Data Alliance.
Get support and advice
Information security and GDPR
Are you working with personal data? Please move on to the university's webpages on information security to find out more.
FAIR data management
Is your data FAIR, and have you considered the implications of FAIR data for your research process?.
Training
Training catalogue
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Data Management in mandatory Code of Conduct for ph.d. students
- Data Processing and Visualization with Jupyter Notebook (This or similar can be requested)
- Introduction to Python and Data Carpentry for Social Science (Ad-hoc, this or similar can be requested)
- Computational Reproducibility (Ad-hoc, this or similar can be requested)
We teach data management at a regular level through the ph.d. schools. These courses are announced at PhD Moodle.
Training on demand
Research groups, departments and others at AAU can request training on demand. Please contact us if you want us to conduct a training session on a specific topic. It may be overall data management planning or something more specfic like cloud utilization, scientific methods or other.
We are happy to engange in a conversation with your research group on whatever needs you may have.
Write to us at claaudia@aau.dk