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.
Frequently Asked Questions
The exact solution depends on several factors:
- Who needs access to your research data and from where?
- What is the 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’.