Data Management Training Leiden Law School
This course aims to familiarize PhD candidates with the basic concepts of research data management (RDM) and FAIR data. It will also focus on the most important aspects of RDM specifically related to qualitative and quantitative data, and on dealing with sensitive data. It will help participants draft the first version of their data management plan (DMP).
- Target group
- PhD candidate
- Hannah DeLacey (External Phd candidate) Eric van Hoof (Privacy Officer) Amalia Campos Delgado (Assistant professor)
This course is organized for all new PhD candidates of Leiden Law School. The training course will be offered in collaboration with the Centre for Digital Scholarship (CDS) at Leiden University Libraries. The course touches upon all aspects of research data management, with examples drawn from the research practice at Leiden Law School. During the course, participants will write their own data management plan, present it during the last session, and receive feedback from their peers and the trainers.
Mode of instruction
This course will take place online via Zoom.
The training will introduce the principles and best practices of responsible data management with a focus on working with research data in law. It will help to answer the question “Do I collect (personal) data in my research project?” and give insights in writing your DMP. The training will also have specific sessions on qualitative and quantitative data, data privacy, and using qualitative data analysis software (ATLAS.ti).
Afterwards, participants will have several weeks to work on the first version of their data management plan (DMP). The group of participants will be divided into smaller groups to present their DMP in the final session.
1st Session: Wednesday 13th March 2024, 09:30-12:30 hrs, online
2nd Session: Wednesday 27th March 2024, 09:30-12:30, online
3rd Session: Wednesday 10th April 2024, short 1.5 hour online appointment between 09:15 and 15:00
All participants write a DMP and will present their research, and data management choices and challenges.
The DMP must be ready before the start of data collection, and it is also needed for the PhD evaluation meeting held at the end of the first year.
Please register and let us know what kind of research you will carry out:
- I do not think I manage any data
- I believe I will use quantitative methods in my research
- I believe I will use qualitative methods in my research
- I believe I will use both quantitative and qualitative methods in my research
Please indicate when registering in case you have a problem attending in person one of the sessions.
Participation in this course is obligatory for PhD candidates, PhD fellows, and contract PhDs. PhDs who have already attended a shorter DMP-workshop and think that they will benefit from attending the longer training are also welcome to join.
It is recommended that external (non-funded) PhD candidates attend the course. However, it is not mandatory.
Please contact the PhD Dean at email@example.com if you cannot complete the course before your evaluation meeting and/or the start of your data collection.