Aim: The aim of the course is to
- create a datamanagement plan for your PhD project
- give insights into how datamanagement supports research projects
- understanding current principles and standards for documentation of quantitative data
- provide considerations and instruments to carry through data documentation and data control of research data from raw data to datasets for analysis
- understand and apply in practice the general rules of appropriate datamanagement in accordance with responsible conduct of research
What is a datamanagement plan?
Datamanagement plans are a key element of good data management and help you in the process of keeping track of the data that is part of a research project. A DMP is a formal document that outlines how to handle research data both during your research and after the research project is completed. It includes all parts of handling of primary materials and data throughout the research data lifecycle, which covers the data collection, organisation, use, storage, contextualisation, preservation and sharing of research data.
Content: The participants will through creating a datamanagement plan be introduced to central elements of datamanagement in research projects, workflows, relevant legislation, principles and standards for data documentation and data control, preparing quantitative data for analysis and relevant legislation in relation to management and safekeeping of research data.
Course arrangement: In the first three days, there will be lectures and exercises (full days). The following 3 weeks participants (individually) work with their own project and prepare a course report (Datamanagement plan of your PhD project). The students will correct and comment on each other's course reports. By the end of the third week the report is handed-in. Finally, each participant presents the report at a seminar day (mandatory) and the students will be opponent to each other.
It is not a prerequisite that students have their own data before the course start. It is recommended to take the course at the beginning of a Phd and preferably before data collection started.
Course credit: 4 ECTS
Course leader: Associate professor, PhD, MHS Katrine Hass Rubin, OPEN – Odense Patient data Explorative Network, SDU.
Prerequisite: Participants should bring their own laptop with STATA (version 13 or 14). It is not a prerequisite that students have knowledge about STATA
Place: University of Southern Denmark, Odense.
Course material: Hand-outs and selected publications.
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement".
For other participants there is a course fee of DKK 5616,-