Graduate School of health and Medical Sciences

Introduction to study design, fieldwork and data collection
Provider: Faculty of Health and Medical Sciences

Activity no.: 3796-24-00-00
	Enrollment deadline: 15/09/2024

Date and time	04.11.2024, at: 09:00 - 08.11.2024, at: 16:00
Regular seats	20
Course fee	5,760.00 kr.
Lecturers	Bo Dalsgaard Ostaizka Aizpurua Arrieta
ECTS credits	3.50

Contact person	Line Juul Larsen E-mail address: line.juul.larsen@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrollment deadline, available seats will be allocated to the waiting list. The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member faculties. All other participants must pay the course fee. Learning objectives A student who has met the objectives of the course will be able to: 1. Understand how to design a field-based study 2. Identify different data collection techniques, and gain competences on how to store, transport, curate and manage data sampled in the field 3. Gain knowledge regarding practical components associated with field-based data collection, including permit applications, ethics, identify and mitigate risks and challenges during fieldwork 4. Acquire competences in statistical design of field-based studies 5. Gain an insight into various communication styles needed when setting up field-based studies Content This intensive 5-day PhD course will provide the attendees with a broad insight into the knowledge and skills needed to design a field-based study. This includes an insight into statistical study design and data collection techniques as well as knowledge on how to store, transport, curate and manage data collected in the field. The course will also provide the attendees with an insight into research, export and import permit application processes and ethics associated with collection of fieldwork data. Moreover, the course will make the attendees aware of the intercultural, religious, political differences when conducting fieldwork away from home, give a basic knowledge on first aid and how to perform a risk assessment. Finally, the attendees will obtain an insight into different styles of communication needed depending on the audience when setting up and executing fieldwork projects. During the course, the attendees will use the gained knowledge to update their own PhD project’s study design, fieldwork and data collection procedure; the course will end by the students presenting how they have applied the gained knowledge in the preparation for their own project. Participants The target group for this course are PhD students wanting a broad knowledge on how to prepare for collecting scientific data in the field, making them ready to collect data for their own PhD project. No prior qualifications are needed to participate. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: Life, Earth and Environmental Sciences Molecular Bacteriology and Infection All graduate programmes Language English Form The course will encompass lectures, exercises, group work and individual work on one’s own project as a case, with both input from teachers and fellow PhD-students, during a week from 9:00 AM to 4:00 PM. Course director Bo Dalsgaard, Associate Professor, Globe Institute, Section for Evolutionary Ecology, Faculty of Health and Medical Sciences, University of Copenhagen, bo.dalsgaard@sund.ku.dk Ostaizka Aizpurua Arrieta, Assistant Professor, Globe Institute, Section for Hologenomics, Faculty of Health and Medical Sciences, University of Copenhagen, ostaizka.aizpurua@sund.ku.dk Teachers Bo Dalsgaard, Associate Professor, Globe Institute, Section for Evolutionary Ecology, Faculty of Health and Medical Sciences, University of Copenhagen Ostaizka Aizpurua Arrieta, Assistant Professor, Globe Institute, Section for Hologenomics, Faculty of Health and Medical Sciences, University of Copenhagen Daniel Bilyeli Øksnebjerg, Academic Research Staff, Globe Institute, Section for Hologenomics, Faculty of Health and Medical Sciences, University of Copenhagen Thomas Vedsmand, VEDSMANDPRO Christina Lynggaard, postdoc, Globe Institute, Section for Evolutionary Ecology, Faculty of Health and Medical Sciences, University of Copenhagen Iñaki Odriozola, postdoc, Globe Institute, Section for Hologenomics, Faculty of Health and Medical Sciences, University of Copenhagen Antton Alberdi, Associate Professor, Globe Institute, Section for Hologenomics, Faculty of Health and Medical Sciences, University of Copenhagen Bo Markussen, associate professor, Data Science Lab https://datalab.science.ku.dk/ Department of Mathematical Sciences, Faculty of Science, University of Copenhagen. Jeff Ollerton, professor, Faculty of Arts, Science and Technology, University of Northampton. Dates 4-8 November 2024 Course location The Globe Institute, Section for Evolutionary Ecology and Section for Hologenomics, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, 1353 Copenhagen K, Denmark Registration Please register before 15 September 2024. Expected frequency Once a year Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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