Copenhagen Centre for Social Data Science

Dates and time:
Day 1 – Wednesday, 6 November 2024 – 2:00 pm – 4:30 pm 
Day 2 – Wednesday, 20 November 2024 – 2:00 pm – 4:00 pm

Good research data management (RDM) practices are an essential part of good research practices. They increase the efficiency and quality of data collections and ensure secure handling and storage of data (to prevent data breaches, misuse, or loss) as well as compliance with requirements by research institutions, publishers, funders, and legislation (e.g. GDPR). This course provides a hands-on training on best practices in managing research data (including quantitative and qualitative data), during which the course participants draft data management plans (DMPs) for their current research projects.

Academic aim:

– Introduction to basic concepts and best practices in RDM
– Drafting a DMP for a current research project and attaining the skills to write DMPs with ease
– Gaining further knowledge about RDM requirements by the University of Copenhagen (UCPH), publishers, funders, and legislation (e.g. GDPR), and how to fulfil these 

Target group: 

The course is aimed at PhD students from the social sciences. It will among other things refer to specific requirements and processes at the UCPH and UCPH-Faculty of Social Sciences. It is, however, open to all PhD students and researchers who are looking for a hands-on training on best practices in RDM and drafting DMPs. No prior knowledge is required.

Course organisers and teachers: 

– Siri Völker, Special Consultant, Data Manager at the Social Sciences Data Lab, Copenhagen Center for Social Data Science, University of Copenhagen
– Joseph Burgess, Senior Consultant, Data Steward at SODAS and Team Leader at the Social Sciences Data Lab, Copenhagen Center for Social Data Science, University of Copenhagen
 

Programme:

Day 1 (6 November 2024) – Introduction to research data management (RDM) and data management plans (DMPs)

2:00 – 2:45 pm  
– Introduction to research data management (RDM):
– What is RDM?
– Why is RDM important?
– Requirements for good RDM practices by the UCPH, publishers, funders, and legislation (e.g. GDPR)
– UCPH Policy for RDM and related processes
– UCPH support services

2:45 – 3:45 pm
– Introduction to data management plans (DMPs):
– What is a DMP?
– Why is a DMP important?
– How to draft a DMP?

3:45 – 4:00 pm
– The course participants receive the assignment to draft DMPs for their respective PhD projects to be discussed on day 2

4:00 – 4:30 pm
– Voluntary: The course participants can start to work on their DMPs and clarify related questions with the presenters/data management experts

Day 2 (20 November 2024) – Practical discussion of DMPs

2:00 – 2:30 pm
– Presentation of a best practice DMP

2:30 – 3:45 pm
– Discussion of the participants’ DMPs in groups with data management experts available to answer open questions

3:45 – 4:00 pm
– Wrap-up

Language: English

ECTS: 0.5

Max. numbers of participants: 20

Course fee: Free for PhD students at all Danish Universities, except PhD students at CBS who will be charged a DKK 600 fee (1.200 per ECTS).

Registration: Please register via the link in the box no later than 2 October 2024

Further information: For more information about the PhD course, please contact the PhD Administration (phd@hrsc.ku.dk).

Literature:

– UCPH Policy for Research Data Management (intranet)
– UCPH Data Management Plan Template v2.1 (intranet)

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.