Analyse and process
At Lund University, different disciplines have differing needs and working methods for the collection of data, processing and analysis, which makes it difficult to give general recommendations. As a researcher, you will often need to process your research data in different programs outside the normal storage solution and it is important to choose tools and methods based on contractual, security and confidentiality considerations.
Examples of tools and methods that you may need to use for processing data:
- Software for research work
- Proprietary Programs
- Lab reports and lab settings
- Data collection and transcription
- Word processors, editors and AI tools
- Cloud services
- External hard drives and their management.
It is important to document how the data is managed during both processing and analysis. Describe this process clearly in the data management plan to meet the project’s requirements and reduce the risk of data loss or inadequate management. Ensure that the information is clear both for funders and for new project members who join during the course of the project.
Contact
You can get advice and guidance on research data management from the University's joint research data support team. The support team includes:
- Faculty Data Stewards
- Faculty Library Research Support
- Archivists.
Submit your question (web form)
Email: support [at] researchdata [dot] lu [dot] se (support[at]researchdata[dot]lu[dot]se)
Are you managing sensitive data?
Please note that not all research data can be freely shared or disclosed. If you are unsure whether your data is sensitive and how this might affect any sharing, you can contact your faculty's data steward through the research data support group.
Data management plan
Remember to continuously update your data management plan.