PhD Course - Research Code of Conduct
November 30 – December 1. Deadline for registration: 24 November
Organizer
Sisse Finken, Associate professor, Head of PhD School at the ITU
Lecturers
Legal, the ITU
Members of the ITU Research Ethics Committee
IT (security), the ITU
Clement Salung Petersen, Professor, Copenhagen University
Morten Rosenmeier, Professor, Copenhagen University
Date(s) of the course
November 30 – December 1, 2022
Deadline for notification
24 November 2022.
You register by filling out this registration form.
The PhD school supports sustainable thinking, so: please notify PhD Support within the final deadline of cancellation on November 24. With such notification we are able to better estimate catering and can avoid waist of food and drinks.
Time and location
9:00 November 30th – 13:00 December 1st 2022. Room: 3A20
Course description
The course is interdisciplinary in focus and concentrates on different research ethical aspects relevant for early stage scholars. The ethical aspects span areas such as the GDPR, IT and data security at the ITU, and the very conduct of responsible research, herein academic freedom, conflicts of interests, plagiarism, authorship, and open access.
The aim with the course is for PhD students to be able to assess, manage, and secure research data with respect to the GDPR and to train PhD students’ ethical conciseness throughout the process of research. That is, from local management and storage of research data generated, to sharing of data among (close) cooperative partners, over to the very publication of data (herein inventions and commercialization processes), and, further, to the planning of, and articulation about, deletion of research data.
Teaching style: Lectures, panel discussions, hands-on, quiz, and Q&A.
Relevance of the course: To be GDPR compliant during the PhD study with respect to research data, 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 for research agencies and/or for industry, public institutions/organizations, and the like.
Preparation for the course: The PhD School strongly recommends PhD students to fill out 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:
• Pinpoint 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 inventions
• Manage and store research data securely at the ITU
• React to grey zones in research endeavors and be skilled in knowing how to handel 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 patens at the 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 Legal at the ITU continue with an overview of the most pertaining issues of the GDPR and GDPR at the ITU. This session is followed by a quiz on ‘Grey Zone Issues’ in relation to conduct of research and research collaborations. The program continues with a post about inventions at the ITU by Legal at the ITU. The day ends with a walk-through of approved IT systems by IT at the ITU. We sum up the first day with Q&A.
Day 2
Clement Salung Petersen, KU, and Morten Rosenmeier, KU, give an introduction to responsible conduct of research, the basic concepts and enforcement. They also touch upon the following:
Academic freedom and freedom of speech - case-based discussions
• Conflicts of interests – 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. 30th 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 (Sisse Finken)
9:05-10:00: The ITU Research Ethics Committee (presents local research ethical/GDPR related issues followed by Q&A. (Moderator: Sisse Finken)
10:00-10:15: Coffee break (and cake)
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))
11:15-12:15: Quiz: ‘Grey Zone Issues’
12:15-12:45: Lunch (sandwiches)
12:45-13:15: Inventions at the ITU
13:15-13:45: IT and data security at the ITU (IT at the ITU)
13:45-13:55: Break
13:55-14:25: Q&A – recapping the day with respect to the PhD students’ research
Day 2 – Thursday Dec. 1st 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, KU, 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 cake)
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.
To attend, you must be a PhD student enrolled at the IT University
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 Sisse Finken and must be submitted to her no later than January 13th 2022.
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 PIA here). Estimate less than 2 hours 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 a semi-completed) PIA to the course. We will go over the PIA template in plenum.
Prior to the course you should also take the mandatory online GDPR-course (available in
Danish and
English).