Research data management
Researchers at Lund University are to be able to manage research data in a secure and correct manner throughout the entire research process. These pages provide support and information about FAIR research data and research data management in the various parts of the research process.
Having access to user-friendly and secure systems where you can store your research data and get support and guidance from experts on ethics, legal aspects, technology, archives and other relevant aspects makes it easier manage research data correctly from the start.
Your research data is to be FAIR
One important part of Lund University’s research strategy is making the processing of research data as FAIR (Findable, Accessible, Interoperable, Reusable) as possible. The FAIR principles make it possible to find and use data whether it is shared with others or kept within the project. When you make your data FAIR, you make it possible for yourself and your project colleagues to go back and use data later on, thanks to you having described and stored it correctly. The principles also help to make data more shareable and useable for other researchers. The FAIR principles permeate the processing of research data and are a foundation for good data management.
Good data management is fundamental in enabling usage and potential sharing of research data and quality-control and storage for future research.
Plan and collect
Planning data management before the start of the project makes the process simpler and easier. When planning your project and your data management, you need to consider such things as requirements, ethical aspects and personal data, and how you work with these in the best possible way, with the help of agreements or tools for example. Creating a data management plan is one way of collating information about data management in a structured way and may be useful during the process.
Store and organise
Your research data is to be stored in a secure and user-friendly way throughout the entire research process and the life-cycle of the data. Organising and working with data in a structured way is important for various reasons and can make things easier both during the project and ahead of it being archived and potentially made available to others.
Analyse and process
When analysing and processing your data, you need access to various programs and software for the purpose. Depending on the subject area and specialisation of your research, you may find resources centrally, or at the faculties and departments.
Share and make accessible
To make your data accessible to others, you can describe it in various repositories, platforms or services. These repositories may be subject specific, general and national. There are lots of aspects to take into account in order to be able to share data, or descriptions of data, in the best way.
Archive and preserve
Registration and archiving of research data is relevant in several parts of the research process and is also a legal requirement that researchers must comply with and manage. When a project is completed, it is to be stored intermediately ahead of disposal or archiving.
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)