Course catalogue doctoral education - HT22

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Title Data Management in Survey Design
Course number 5568
Programme Folkhälsovetenskap
Language English
Credits 2.0
Date 2022-10-17 -- 2022-10-28
Responsible KI department Institutionen för global folkhälsa
Specific entry requirements Knowledge about general data protection regulation (GDPR) and about documentation and handling of research data corresponding to what’s included in the compulsory introduction to doctoral education at KI.
Purpose of the course This course is designed for students who work with survey based research or who are interested in understanding the principles of data management. The focus of the course will be on how to formulate relevant questions for data collection that are possible to be understood and answered accurately and truthfully by respondents. Further the course will cover the process of transferring these answers to clean, accurate, and useful data that can be analysed with the aim to answer your research question. The course also includes the ethical and legal components of your responsibilities as a researcher. After completing this course, the students will be better equipped to manage data throughout the entire research data lifecycle from project planning to the end of the project.
Intended learning outcomes After the course the participants should be able to:
1. Explain the importance of having a data management plan
2. Develop a data management plan that is aligned with the research plan
3. Apply basic principles of survey design
4. Implement the ethical principles throughout the data management planning

Contents of the course During this course the students will learn the basic principles of data management starting from project inception, all the way through to archiving. These principles will help the students to optimize their research outputs, increase the impact of their research, and support open scientific inquiry.

The course includes:

-Key data management concepts
-Practice and challenges of data management
-Hands-on experience with an online data management
Teaching and learning activities Different strategies for teaching and learning will be used such as lectures, group-discussions, and seminars. The focus will be on critically reflecting upon the evidence and viewpoints and relating it to your own research.
Compulsory elements The peer-reviewing assignment and examination are compulsory elements during the course and cannot be compensated for.
Examination To pass the course the student must achieve the learning outcomes, and this will be assessed by an individual written assignment.
Literature and other teaching material Course literature is based on recommended key articles, power-point presentations and handouts, which will be given to all participants before the start of the course.
Number of students 10 - 20
Selection of students Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) start date of doctoral studies (priority given to earlier start date)
More information
Additional course leader
Latest course evaluation Not available
Course responsible Ritva Rissanen
Institutionen för global folkhälsa

ritva.rissanen@ki.se
Contact person -