Datamanagement plan and responsible handling of research data

Aim:

The aim of the course is to

  • create a data management plan for your PhD project
  • give insights into how data management 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 data management in accordance with responsible conduct of research

What is a data management plan?

Data management 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.

Outcome:

  • Obtain knowledge of the importance of good datamanagement
  • Obtain Knowledge of principles of responsible handling of research data
  • Obtain knowledge of data cleaning and preparing of data prior to analysis
  • Obtain ability to document an entire research project from beginning to the end
  • Obtain competence to create a data management plan
  • Create a DMP for your own project

Teaching methods:

In the first three days, there will be lectures and exercises (full days) with frequent assignments related to the participant's own project. The following 3 weeks participants (individually) work with their own project and prepare a course report (Data management 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.

To be noted: The course provides examples on solutions for challenges regarding components of the DMP that is given by the Region of Southern Denmark and the University of Southern Denmark. However, the underlying legislation and rules are the same nationwide and similar support systems can be found elsewhere.

Course credit: 4 ECTS

Course leader: Postdoc, PhD, Mette Bliddal, OPEN – Odense Patient data Explorative Network, SDU.

Prerequisite: Participants should bring their own laptop. 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 starts.

Place: SDU, Odense

Course material: Hand-outs and selected publications

Course fee:
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 5422,72,-

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