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
You can protect your research data from incidental loss by using a storage solution that is secure, by making regular backups and by ensuring that the backup of your research data is as independent as possible from the main storage. See ‘Storage solutions
’ for more information.
Wageningen University & Research offers different managed storage solutions to securely store your data. You can choose personal or shared storage solutions with backup options. For all additional options see our support page ‘Storage solutions
Yes. For example, when you store your data files with a cloud service that has its servers located in the US, like Dropbox, you fall within US jurisdiction. The US is subject to the Freedom Act. US authorities can demand the details of your account. If you wish to use a cloud storage service, it is better to use OneDrive for Business. The legal contracts and configuration of this service comply to the security standards of the WUR. You use OneDrive for Business for free and sign in via your WUR-account. Note that cloud storage is not suitable for all data types. This depends on the confidentiality level of the data
. For more information see ‘Storage solutions
You have to document your data to ensure that you, as well as current and future users, understand the context in which your data were collected. This increases the chance your data can be found, understood and reused. See our support page ‘Data documentation
’ for more details on how to prepare data documentation.
You do this by designing a logical folder structure and consistently applying descriptive file names over time. See ‘Organising files and folders
’ for some best practices. Also, don't forget to add adequate ‘Data documentation
’ to your folders.
You can do this in Git@WUR
: an environment especially created to store and collaborate on source code and statistical models built at Wageningen University & Research. Visit our support page 'Managing your source code
with Git@WUR' for more information.
If you use the managed storage services of Wageningen University & Research, you can access your files through MyWorkspace
or VPN. For more information, see the pages on intranet