An increasing number of funding agencies and scientific journals are requiring researchers to plan for the management of their data. In order to respond to these requirements, researchers need data management skills that support the long-term access to and use of their research data. Efficient managing of the data can also help optimise research outputs and support open scientific inquiry. The aim of this course is thus to prepare course participants to exceed funder mandates for performance in data planning, documentation, preservation and sharing in an increasingly complex digital research environment.

After completing this course, participants will be better equipped to manage their research data throughout the entire research data lifecycle, be able to identify the components of a good data management plan, and be familiar with best practices for working with research data including the organisation, documentation and archiving of research data. 

Course structure

The course is an introduction to the management of research data and today’s development around data management planning, data collection, data curation and data publication. Also, aspects of data documentation (metadata) standards, data citation and juridical aspects of research data are included. The course will follow the FAIR Data Principles (Findable, Accessible, Interoperable and Reusable). Exercises and assignments will focus on best practices for the research data life cycle and day-to-day research data management within research. Preparation of a realistic data management plan and preparing data for publication including, if possible, making data publicly accessible and findable.

During the course we will work with flipped classroom together with seminars, exercises, and assignments. Participants will work with exercises in group, as well as with individual assignments. Active participation is required, and attendance at lectures and exercises are mandatory.

For a Pass on the course, participants must have attended at least 80% of the scheduled activities and completed and passed all exercises and assignments in the course. Examination of the course is based on fulfilment of the assignments, oral presentations, and an oral presentation of a written data management plan.

The course is taught in English or Swedish.

Admission

To be admitted to the course, participants must normally have a first-cycle degree. Priority is given to doctoral students at LTH. If there are places available, other staff at LTH are welcome to attend the course.

Scope

The course corresponds to 3 weeks of full-time work with Pass and Fail as available grades.

Syllabus 

Course leaders

Fredrik Edman, fredrik.edman@innovation.lu.se
Senior lecturer LTH and IPR expert LU Innovation

Ebba Ruhe, ebba.ruhe@math.lu.se
Librarian LTH