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

Cancelled: 2022. Expected next period: VT2023, February-March

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 campus 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 for the course 2023: Course will updated with new material

Ca 7 half day sessions, plus some homework tasks.

Registration

Registration for this course is through a form and link will be available when registration opens again. The registration form contains a few questions on your experience with data. Max number of places on the course is 20.

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