Research Code of Conduct
Registration deadline: 22 November 2023
Organizer
Professor Espen Aarseth, Head of the PhD School at ITU
Lecturers
Professor Clement Salung Petersen, Copenhagen University (KU)
Professor Morten Rosenmeier, KU
Members of the ITU Research Ethics Committee
Legal, ITU
IT (security), ITU
Course dates
November 29 -30, 2023.
Registration deadline
22 November 2023. Registration is closed.
The PhD School supports sustainable thinking, so: please notify PhD Support within the final deadline of cancellation on November 22. With such notification we are able to better estimate catering and can avoid waste of food and drinks.
Time and location
Nov. 29: 9-14:25 in room 2F12
Nov. 30: 9-12 in room 2F16, 12-13 in room 2F12
Course description
This interdisciplinary course introduces ethical aspects relevant for early stage researchers, including GDPR, IT and data security at the ITU, and the conduct of responsible research, hereunder academic freedom, conflicts of interests, plagiarism, authorship, and open access.
The aim of the course is for PhD students to be able to assess, manage, and secure research data with respect to GDPR and to heighten PhD students’ ethical awareness throughout the process of research, from local management and storage of research data generated, to sharing data among (close) cooperative partners, via the publication of data (including patents and commercialization processes), and finally the planning and articulation of deletion of research data.
Teaching modes: Lectures, panel discussions, quiz, and Q&A.
Relevance of the course: To be GDPR compliant with respect to research data during the PhD project enrollment, to be able to conduct responsible research, and to strengthen competences vis-a-vis future career paths in terms of being able to address GDPR/research-ethical issues in proposals to research agencies and/or industry, public institutions/organizations, and similar.
Preparation for the course: The PhD School strongly recommends that you fill in the ‘Record of Processing and Privacy Impact Assessment’ (PIA – for further information see below ‘Preparation for the course´). Also, attending PhD students should read the literature and get acquainted with the online resources provided.
Evaluation: Upon completion of the course, attending PhD students are invited to evaluate the course for further improvements.
Learning outcomes: Having completed the full course successfully, PhD students will be able to:
• Comprehend the basics of the GDPR, herein protection of personal and/or sensitive data
• Identify resources that can assist in issues pertaining to the GDPR, research-ethical issues and patents
• Manage and store research data securely at ITU
• React to grey zones in research endeavors and skillfully handle such with respect to the GDPR
• Conduct research responsibly
Day 1
During the first day, PhD students get to know about GDPR, IT security, and rights in relation to patents at ITU. Within this, we start the day with a panel discussion that addresses research ethical concerns/dilemmas relevant for all PhD students at the ITU. The panel is cross-departmentally composed by the members of ITU’s Research Ethics Committee. After a break, ITU's Legal team will continue with an overview of the most relevant GDPR considerations for you as a PhD student. This session is followed by a quiz on ‘Grey Zone Issues’ in relation to GDPR when conducting research and collaborating with external parties. The program continues with a presentation of inventions created at the ITU, also by Legal. The day ends with a walk-through of approved IT systems by IT/ITU. We sum up the first day with Q&A.
Day 2
Clement Salung Petersen and Morten Rosenmeier from KU give an introduction to responsible conduct of research, the basic concepts and enforcement. They also touch upon the following:
• Conflicts of interests – case-based discussions
• Academic freedom and freedom of speech - case-based discussions
• Research planning and data management (including research collaborations)
• Plagiarism, double publication (“self-plagiarism”), good quotation practice, etc. – case-based discussions
• Publishing: Authorship and acknowledgements, publishing agreements, open access
After Clement and Morten’s lectures we end the course at noon with a lunch having room for reflections and questions about the topics of the course.
Day 1 – Wednesday Nov. 29th Research Code of Conduct concerning GDPR and IT
8:45-9:00: Coffee and snacks
9:00-9:05: Welcome and introduction to the course (Espen Aarseth)
9:05-10:00: The ITU Research Ethics Committee (Gitte Stald & Yvonne Dittrich) presents local research ethical/GDPR related issues followed by Q&A. (Moderator: Espen Aarseth) - TBC
10:00-10:15: Coffee break
10:15-11:15: Short intro to relevant issues of GDPR and GDPR resources at the ITU web (relevant vis-à-vis the PIA (see preparation for the course)) (Legal: Jakob Hjort Engstrøm)
11:15-12:15: Quiz: ‘Grey Zone Issues’ (Legal: Jakob Hjort Engstrøm)
12:15-12:45: Lunch (sandwiches)
12:45-13:15: IT and data security at the ITU (Lilian Schelde Baunbæk - IT)
13:15-13:45: Inventions at the ITU (Legal: Jakob Hjort Engstrøm)
13:45-13:55: Coffee break – and cake!
13:55-14:25: Q&A – recapping the day with respect to the PhD students’ research (Espen Aarseth)
Day 2 – Thursday Nov. 30th Responsible Research Code of Conduct
8:45-9:00: Coffee and snacks
9:00-9:20: Introduction to the day, which is run by Clement Salung Petersen and Morten Rosenmeier, KU: Responsible conduct of research – basic concepts and enforcement
9:20-9:40: Academic freedom and freedom of speech - case-based discussions
9:40-10:20: Conflicts of interests – case-based discussions
10:20-10:30: Coffee break - and snacks!
10:30-11:15: Plagiarism, double publication (“self-plagiarism”), good quotation practice, etc. – case-based discussions
11:15-11:45: Publishing: Authorship and acknowledgements, publishing agreements, open access
11:45-12:00: Q&A
12:00-13:00: Lunch (sandwiches + soft drinks) and Q&A: recapping the day with issues relevant for your research.
Prerequisite
To attend, you must be a PhD student enrolled at the IT University of Copenhagen.
Exam
1 page on the topic of the course with emphasis on aspects you find interesting and how they are relevant for your research. The reflection note is approved by Espen Aarseth and must be submitted to him no later than January 12th, 2024.
Credits
1 ECTS point for full attendance
Amount of hours the student is expected to use on the course
Participation: hours 15 (1 day + written exam)
Preparation: hours 14 (readings + preparation (see ‘Preparation for the course’ below))
As preparation for the course, the PhD School strongly recommends PhD students to fill out the form ‘Record of Processing and Privacy Impact Assessment’ (find form here). Estimate approx. 1 hour for filling it out. You submit your PIA after the course (your answers will automatically be saved in Forms) – so bring along your complete (or semi-completed) PIA to the course as well as any questions you may have so we can address them during the course. Prior to the course you should also take the mandatory online GDPR-course (available in Danish and English).
This course was originally designed by Associate Professor Sisse Finken, ITU