Research Data Management

Research data management (RDM) encompasses the practices involved in collecting, maintaining, utilising, preserving, and sharing data that underpin your research. Key aspects of RDM include:

• Storing and backing up your data effectively to safeguard against corruption and loss.
• Organizing your data with meaningful file names, logical folder structures, and applying version control to track changes in modified files.
• Implementing quality controls throughout your data workflow to maintain data integrity and minimize errors and their impact.
• Documenting your data thoroughly so that you and others can understand what the data represent, how they were collected or generated, and the processes used for analysis.
• Managing personal and confidential data to comply with the Data Protection Act and fulfill ethical obligations.
• Preserving and sharing your data in a way that allows other researchers to access and reuse them, typically through appropriate data repositories

Please review the SETU Data Management Guidance document linked below for further detail. In the event you cannot access the file please contact [email protected]