Data Handling
VIDEO here
Considerations:
- When storing data, keep a master copy of the data and create another working file. This will ensure you have a backup and the original data collection file.
- Choose file names carefully to reflect the project, date, and version of the file
- Keep file names short but meaningful
- Avoid special characters and spaces
- Keep track of the different versions of the data so you can see which transformations were applied
- It is a good idea to name files according to the type of data they contain, such as attainment, progression...
- To indicate that a variable has been recoded or dummyfied, the variable name may include a prefix that indicates the transformation
- Sensitive data files should be encrypted. Unsolicited users cannot access your data if they are password-protected.
- Where possible and when necessary, anonymise sensitive data
- Don’t retain sensitive data for longer than necessary for GDPR purposes
- Analytical outputs in research reports must be aggregated or anonymised to ensure participants are not identifiable and not left in a vulnerable position for sensitive topics
- Consider sending your data to a repository such as the UK data service in the required format upon completion of your project
VIDEO ABOUT NONIMISING PARTICIPANTS
Button to Consultants directory