English   Danish

2023/2024  AO-ASTHO1012U  Research Design and Data Curation in Tourism and Hospitality

English Title
Research Design and Data Curation in Tourism and Hospitality

Course information
Language English
Course ECTS 5 ECTS
Type Mandatory
Level Master
Duration One Quarter
Start time of the course Third Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
AO Study Board for cand.soc.
Course coordinator
  • Erik Braun - Department of Marketing (Marketing)
Main academic disciplines
  • Statistics and quantitative methods
Teaching methods
  • Blended learning
Last updated on 26-06-2023

Relevant links
Learning objectives
This course provides the students insights and tools for developing a research design and the acquisition of data within the tourism and hospitality field – introducing different methods for data collection. It enables them to decide for the right type of data and the right data collection method for different research questions. The specific learning objectives of the course are:
  • Explain and discuss different types of data and data collection methods;
  • Develop and discuss a relevant research-proposition based on the students’ own research interest;
  • Identify primary sources of data and an appropriate methodology for data collection to potentially answer the chosen research proposition;
  • Collect a sample of the chosen data;
  • Critically reflect on the chosen research design and its’ possibility to answer the chosen research-proposition;
  • Follow academic conventions in the written presentation.
Examination
Research Design and Data Curation in Tourism and Hospitality:
Exam ECTS 5
Examination form Oral exam based on written product

In order to participate in the oral exam, the written product must be handed in before the oral exam; by the set deadline. The grade is based on an overall assessment of the written product and the individual oral performance, see also the rules about examination forms in the programme regulations.
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Project
Release of assignment An assigned subject is released in class
Duration
Written product to be submitted on specified date and time.
20 min. per student, including examiners' discussion of grade, and informing plus explaining the grade
Grading scale 7-point grading scale
Examiner(s) Internal examiner and second internal examiner
Exam period Spring
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content, structure and pedagogical approach

Aim:

This course aims to prepare students for undertaking a research project in the tourism and hospitality field. From understanding different methods for data collection to formulating a research proposition and developing the right research design to address it.

This includes the full spectrum of data curation, including to find data or creating data (i.e., surveys, experiments, scraping big data, or observations), to reflect on the appropriate methods in data collection and analysis, as well as the management of data.

 

Content:

Students will learn developing appropriate research designs to different types of research questions within the field of tourism and hospitality. The course builds on the insights from the first semester and encourages the students to create their own different projects and discuss them critically.

This course focus on data curation, including methods to find data or creating data (i.e., surveys, experiments, scraping big data, or observations), select appropriate methods in data collection and analysis (building up on the Quantitative Research Methods in Tourism and Hospitality course), as well as the management of data.

It also combines an open space for pitching ideas, starting collaborations, and getting feedback about the students’ research interest – potentially feeding ideas for the students’ final project.
Description of the teaching methods
This course is delivered in a blended learning format. That is, the course combines physical in-class teaching (i.e., workshops) with both prerecorded video as well as live online teaching.
Feedback during the teaching period
Students will receive feedback in the following ways: during 1) in-class workshops; 2) in online lectures; 3) during the office hours.
Student workload
Attending class 22 hours
Preparation 67,5 hours
Exam 48 hours
In total 137,5 hours
Last updated on 26-06-2023