The purpose of these guidelines is to serve as an information resource to life science researchers in Sweden regarding research data management.

Research data management (RDM) concerns the organisation, storage, preservation, and sharing of data that is collected or 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.

Research data life cycle

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.

Share Reuse Preserve Analyse Process Plan Collect


RDM life cycle from RDMkit licensed under Creative Commons Attribution 4.0 International License.


Topics

Click on either of the links below to get an overview of individual research data management topics.


Get Support

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.

Click here to get support


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.

Go to Events & Training on the Data Platform


Calls & Jobs

Available positions and funding opportunities within data-driven life science can be found on the SciLifeLab Data Platform.

Go to calls on the Data Platform


Go to jobs on the Data Platform