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Introduction to research data management for PhD students
November 14
This course is exclusively for PhD students at University of Copenhagen.
Date and Time: 14 November 2024 from 9:00 to 16:00.
The purpose of this course is to introduce PhD students from the humanities to the basics of research data management, how to comply with the UCPH Data Management Policy, and how to act in accordance with responsible research conduct.
Data management is an important feature of responsible conduct in research, research integrity and ethical handling of research data. The storage and processing of research data is a concern for funding bodies as well as legislators, both on a national and international scale. EU’s FAIR data principles (which states that data should be Findable, Accessible, Interoperable and Re-usable) and Open Science as such are also increasingly important aspects of research and research dissemination.
As part of the UCPH Data Management Policy, all researchers will be required to fill out a Data Management Plan as part of their work. This one-day course on Research Data Management will provide information on how to get started on managing research data, teach participants how to write a data management plan and inform them of (legal) requirements and university and faculty procedures and policies on research data. A case presentation from a faculty member presenting their research areas from a data management and ethical perspective is an essential element of the course.
The course will be taught by administrative and research staff with experience in data management.
Course organisers
Lene Offersgaard
Emil Zolthan Bozard
Emil Johansen Gadegaard
Research and Impact, Faculty of Humanities, University of Copenhagen.
Contact: datamanagement@hum.ku.dk
Preparation
Participants will fill in a template (1 page) regarding data management issues related to their research project. Template will be provided after admission to the course and must be submitted to phd@hrsc.ku.dk no later than 8 November 2024.
Participants should read the material referred to in the first section of the reading list for the course.
During and after the course the participants will prepare a draft of a data management plan (DMP) and receive feedback on its contents from the course presenters. Please bring a computer to create your DMP draft during the course. The DMP draft is to be forwarded to datamanagement@hum.ku.dk no later than 27 November 2024.
Max. number of students: 20. In case of fewer than 6 participants, the course will be cancelled.
ECTS: 1
Registration: Please register via the link in the box no later than 30 October 2024.
Further information: Please contact the PhD Administration (phd@hrsc.ku.dk) or the course organisers for further information.
Readings
Readings for the course are available in electronic form
Readings before class
- RCR – A Danish textbook for courses in Responsible Conduct of Research. Karsten Klint Jensen, Louise Whiteley and Peter Sandøe (eds.) ISBN: 978-87-93768-19-2 http://ifro.ku.dk/rcr.pdf/ pp.8-11, pp. 54-74, pp. 118-122. (30p) (NB: links that refer specific to the Science and Health faculties will in the course be supplemented with links for Humanities.)
- What is data protection? (datatilsynet.dk)
Readings before handing in your Data Management Plan
- Data Management Guidelines: https://kunet.ku.dk/work-areas/research/data/Pages/default.aspx, in Danish: https://kunet.ku.dk/arbejdsomraader/forskning/data/forskningsdata/Sider/default.aspx (approx. 30 p)
- HUM toolbox: GDPR information, incl. Anonymisation and Pseudonymisation GDPR i forskning – KUnet
- Code of Conduct for Responsible Research – University of Copenhagen (ku.dk) (15p)
- Retningslinjer for internationalt forsknings- og innovationssamarbejde https://ufm.dk/publikationer/2022/filer/uris-retningslinjer.pdf Uddannelses- og Forskningsministeriet (ufm.dk)
- Making Qualitative Data Reusable – A Short Guidebook For Researchers And Data Stewards Working With Qualitative Data (zenodo.org)
- The FAIR principles https://www.go-fair.org/fair-principles/ (30p)
- How to FAIR? Website with information and interviews with researchers from various disciplines: humanities, science/engineering, health sciences & social sciences in Denmark, in English: https://www.howtofair.dk/ (20p) – short overview of file formats: https://www.howtofair.dk/how-to-fair/file-formats/
- Format Recommendations: https://standards.clarin.eu/sis/views/list-popular-formats.xq
- Selected documents from UCPH intranet: https://kunet.ku.dk/employee-guide/Pages/Safety-and-Emergency-Preparedness/Information-Security.aspx:
- Guidelines for information security at University of Copenhagen: https://kunet.ku.dk/employee-guide/ITvejl/Information%20security%20-%20Guidelines.pdf, in Danish: https://kunet.ku.dk/medarbejderguide/ITvejl/Informationssikkerhed%20-%20Retningslinjer.pdf (13p)
- Risk Assessment: https://kunet.ku.dk/employee-guide/ITvejl/Security%20instructions%20-%20Risk%20assessment.pdf, in Danish: https://kunet.ku.dk/medarbejderguide/ITvejl/Sikkerhedsvejledning%20-%20risikovurdering.pdf (17p)
- Security instructions – Data Classification: https://kunet.ku.dk/employee-guide/ITvejl/Security%20instructions%20-%20Data%20Classification.pdf, in Danish: https://kunet.ku.dk/medarbejderguide/ITvejl/Sikkerhedsvejledning%20-%20dataklassifikation.pdf#search=dataklassifikation (7p)
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DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
