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PhD course: How to take care of your data: Introduction to practical data management

VT2022 April - May, 2 ECTS. Link to program is given below

This is a course about “Open Data”, Data Management Plans and the FAIR principles. It is a course about how to publish and share your data. What do those things mean for you as researcher and the data you work with? How to plan data collection & documentation? Where can you store your data safely? Why and when should your data be published and shared? Today, research funders are asking to write a Data Management Plan where you present what you do with your data on the long term. How can you make your data as FAIR as possible?

In this short introductory course, we will present the basics that you need to know around the research data life cycle, including important concepts like data curation, publication and citation, best practices for collecting and organizing data and how to write a data management plan for your project.

The course is a Science Faculty course in cooperation with the Science Faculty Library and organized by LU Library and ICOS Carbon Portal.

Who can apply?

The course is open to PhD students from all departments and centres of the Lund University Science Faculty and Faculty of Engineering. Number of students is limited to 20. We aim for an even distribution of participants across research disciplines. Also, in case of oversubscription, Science Faculty students have priority.

Credits & components

The course corresponds to 2 ECTS, distributed over seven scheduled moments, self-study and exercises. Several assignments are home exercises. To pass the course you are expected to participate actively in all course components and submit assignments.

The course is given on distance in Zoom and material will be presented through Canvas.

If you have questions about the course, please e-mail Harry [dot] Lankreijer [at] nateko [dot] lu [dot] se

Time schedule, exact course period for VT22 not yet available. Below is last year schedule:

w. 15

Wed 14 April, 10-12:30, lecture + exercise: Introduction, Data life cycle, Metadata

Fri 16 April, 13-16, lectures, exercise and intro home exercise: Search for data, data catalogues, data sharing and license

w. 16

Mon 19 April 13-16, lecture and exercise: FAIR principles

Fri 23 April 9-12, lecture: citation and use of PIDs

w. 17

Tue 27 April 13-16, lecture and exercise: DMP

w. 18

Thu 6 May, 13-16, lectures: legal aspects

w. 19

Wed 12 May, 13-16: Presentation of DMP, course evaluation

Program of course topics can change.


Registration for this course is through a registration form. The form will be available a few weeks before course start from this page. The registration form contains a few questions on your experience with data.

Course code is NNG006F. Syllabus can be found here (both Swe and Eng in pdf-format).