Doing your research
Managing current data
The data – from experiments, simulations, observations, interviews, etc. - you collect during your project(s) are very valuable. Therefore, loosing, accidentally changing or misplacing these - unique, laboriously obtained and sometimes sensitive - data is the last thing you want.
Manage your current data
To manage your data, good Research Data Management practices are essential. These practices include, amongst others, a structured folder system, descriptive and consistent file naming, data documentation, documentation of software used and secure data storage. These, and other practices, are addressed in your Data Management Plan. Click on the pages below to find out more about these and other good practices for managing your data.
More information:
- Data documentation
- Data confidentiality
- Exchanging data
- File formats
- High Performance Computing
- Manage your source code with Git@WUR
- Organising files and folders
- Storage solutions
Frequently Asked Questions
How do I protect my data from incidental loss?
Where can I store my current research data?
Can I get into trouble when my data are stored in the cloud?
How do I ensure that others understand my data?
How do I structurally store my data so that I can find them?
Where can I safely store and manage my software source code & scripts?
Where can I get huge computer power to analyse my data?
How can I access my data files when I'm not on campus?
How can I securely exchange/collaborate on my research data with others inside and outside WUR?
The exact solution depends on several factors:
- Who needs access to your research data and from where?
- What is the confidentiality classification of your research data?
- Do you just want to transfer research data or do you wish to collaborate?
Depending on your answers we offer different solutions. See ‘Data exchange and collaboration solutions’ to choose the option that best fits your needs. To collaborate on source code, Wageningen University & Research has developed Git@WUR (see also: ‘Manage your source code with Git@WUR’.