Research Data Management (RDM) concerns the organisation, storage, preservation, and sharing of data that is collected and analysed during a research project. Proper planning and management of research data will make project management easier and more efficient while projects are being performed. It also facilitates sharing and allows others to validate as well as reuse the data.
The research data life cycle can be divided into several phases as seen in the wheel below;
plan, collect, process, analyse, perserve, share and reuse. Click on a section of the wheel
below to get an introduction to that phase of the
research data life cycle, including information on relevant resources and training material.
RDM life cycle from RDMkit licensed under Creative Commons Attribution 4.0 International License.
Click on either of the links below to get an overview of individual research data management topics.
Do you need support with research data management?
We offer support to anyone involved in life science research that is affiliated with a Swedish university or research institute.
Meet a Data Steward
Join SciLifeLab Data Centre & NBIS and get data management support. Each event consists of a 15 minutes mini-lecture and a 45 minutes Q&A.
Next date: Oct 24, 2023
Events & Training
Upcoming conferences, webinars, workshops, and training opportunities in Sweden related to data-driven life science can be found on the SciLifeLab Data Platform.