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PHI450 Skatteforsk PhD Course – Topics in Research Ethics, Methods, and GDPR Compliance

Credits (ECTS):5

Course responsible:Annette Alstadsæter

Campus / Online:Taught campus Ås

Teaching language:Engelsk

Course frequency:Continuous

Nominal workload:75 hours

Teaching and exam period:The course runs throughout the year and does not have a formal start- or end date. Credits are awarded when the workload is completed and approved.

About this course

This course is designed as a seminar series, providing an in-depth understanding of research ethics and methodology across disciplines. The course aims to foster a culture of ethical awareness, responsible data management, and interdisciplinary collaboration. The curriculum includes both foundational and practical aspects of research ethics, emphasizing contemporary challenges and best practices in research data handling. Seminars are given by experts in the field, sharing from their own experiences in how to navigate complex ethical, security, and legal issues in order to pursue their research goals. The aim is to provide students and lecturers with networks, to interact scholars across institutions and countries, and to provide deeper awareness and competence in these complex issues within the research community.

Key topics covered include:

  • Data Protection Impact Assessments (DPIA): What they are, when they are required, and how to write one.
  • General Data Protection Regulation (GDPR): Ethical and legal obligations for researchers.
  • Research transparency and replication packages: How to integrate them from the start of a project.
  • Data security and minimization principles.
  • Ethical challenges in using leaked data for research.
  • Applying for research funding with ethical considerations.
  • What constitutes anonymous data.
  • Practical strategies for remote research collaboration.
  • Consistent and ethical data cleaning practices.
  • Challenges in using administrative register data.
  • Ethical concerns in linking and utilizing register data.
  • Organizing inter-institutional research collaborations.
  • Establishing collaborations with public sector institutions while minimizing risks of project termination.

Additionally, the course will cover emerging ethical topics and invite international guest lecturers to present and discuss current issues in research ethics.

Learning outcome

Knowledge: The candidate:

  • Understands the ethical and methodological challenges in research across disciplines.
  • Is familiar with legal and ethical frameworks, including GDPR, DPIA, and national and international research ethics guidelines.
  • Recognizes barriers to interdisciplinary collaboration and how to navigate them.
  • Knows best practices for data management, security, and transparency in research.
  • Understands ethical concerns in working with sensitive data sources, including administrative registers and leaked datasets.

Skills: The candidate:

  • Can identify ethical dilemmas in research and apply appropriate guidelines and solutions.
  • Can develop research plans with built-in ethical considerations, ensuring compliance with data security and transparency standards.
  • Is proficient in preparing and managing research data in a replicable and ethically sound manner.
  • Can communicate ethical challenges effectively in an interdisciplinary research environment.

Generic competencies: The candidate:

  • Can critically assess ethical and methodological issues in their research field.
  • Demonstrates ethical awareness and responsibility in all stages of research.
  • Engages in constructive interdisciplinary collaboration while adhering to ethical and legal frameworks.
  • Is equipped to contribute to ethics committees and research governance structures within their institution.
  • Learning activities
    The course consists of approximately three seminars per semester, each lasting two hours. The seminars include presentations by invited experts and guest lecturers, followed by interactive discussions and practical exercises. Students are encouraged to actively participate in the selection of topics and discussions. The course is designed to be dynamic, incorporating emerging ethical issues in research.
  • Teaching support
    Seminars are facilitated by course instructors and invited experts. Students are encouraged to take an active role in shaping discussions, selecting topics, and contributing to seminar organization.
  • Syllabus

    Alstadsæter, Collin, Økland (2025): Safely Opening Pandora’s Box: A Guide for Researchers Working with Leaked Data. Submitted to journal.

    Henriksen, Gulbrandsen, Ulloa (2025): The Difference Between Personal Data and Anonymous Data. Skatteforsk Notes No.3.

    More material will be distibruted to studentes.

  • Prerequisites
    Masters’ degree.
  • Recommended prerequisites
    Examen Philosophicum or equivalent.
  • Assessment method

    Portfolio assessment:

    • Individual written reflection documents.
    • Oral presentations in groups with peer feedback


  • About use of AI
    Exam (evaluation): K1 - the use of AI is not permitted

    Descriptions of AI-category codes.

  • Examiner scheme
    An external examiner approves the assessment criteria.
  • Mandatory activity
    Students must attend a minimum of 4 seminars, with documented preparation, active participation, and oral or written contributions. Students choose the sessions most relevant to their research. The mandatory coursework is to be completed within a year.
  • Teaching hours
    Approximately 2 hours per seminar, 3 seminars per semester.
  • Admission requirements
    Master