Below, you will find an overview of the PhD programme for each department of the faculty of Science. Please visit the pages of the specific department for more information about the education offered. Some departments have joint a national research school. Therefore the website links in some cases to a web address not part of the VU. For general questions PhD students can contact the PhD coordinator of the department (see schedule under Training and Supervision Plan).
Courses offered by the VU
For more information contact Simone Zindel and Maaike Croes: email@example.com.
All PhD candidates that started after 1 April 2015 are required to take a course on scientific integrity.
The aims of the course are to:
- introduce you to the topic research integrity;
- help you identifying any potential grey areas in your research field;
- stimulate an open discussion of research integrity matters on the work floor.
Part I: 1 December ~ 09:00 – 13.15
Part II: 17 November is canceled
Part I (13.00 – 17.15): 9 March, 28 June, 5 October, 7 December
Part II (09.00 – 13.00): 19 January (13.00 – 17.00), 17 May, 14 September, 23 November
You can subscribe for the first part of the course when you have 1) a registration of your PhD Admission in Hora Finita (please contact your department secretary for more information) 2) and you have completed the online course Research Integrity. Please send your certificate of the results of the online course Research Integrity to Simone Zindel/Maaike Croes at firstname.lastname@example.org .
Herewith more information about the course:
Course ‘Writing a Data Management Plan’ for PhDs from FGB and Faculty of Science
Sign up through the Library Event Calendar
The course will be taught in two different versions: one for research with personal data (in the sense of the GDPR) and one for research without personal data. When registering for the course, please make sure that you sign up for the right version.
- With GDPR: 15-12-2020, 12-1-2021, 19-1-2021 – registration closes 24-11-2020
- Without GDPR: 26-1-2021, 16-2-2021, 23-2-2021 – registration closes 5-1-2021
- With GDPR: 2-3-2021, 23-3-2021, 30-3-2021 – registration closes 9-2-2021
- With GDPR: 14-4-2021, 12-5-2021, 26-5-2021 – registration closes 24-3-2021
- Without GDPR: 20-5-2021, 10-6-2021, 17-6-2021 – registration closes 29-4-2021
Registration: Library Event Calendar (please select the course of your choice)
Workload: 1 EC
Target group: PhD students at FGB/Beta at the beginning of their research project (± 1st year)
Maximum number of participants: 30
Language: the default language for this course is English, but we can switch to Dutch in case all participants speak Dutch. If desired, assignments may be submitted in Dutch as well.
Costs: free of charge for VU PhD students
The University Library provides training on Research Data Management (RDM) for PhD students. We kindly invite PhD students from the Faculty of Behavioral and Movement Sciences (FGB) and the Faculty of Science to this course on writing a Data Management Plan.
Good RDM (e.g. storing, sharing, archiving, describing your research data) contributes to research transparency and integrity. Due to the advance of new technologies, data volumes and numbers of files are constantly increasing. For that reason good data management is an essential part of data-driven research as well. In this course, we will introduce and discuss the different aspects of RDM which typically need to be covered in a data management plan (DMP), such as data description, data storage during research, sharing data with colleagues, data archiving after research and data citation. The various components of research data management will be related to the FAIR principles (that is, principles to make data Findable, Accessible, Interoperable and Reusable). We will also address the ethical and legal framework, including the General Data Protection Regulation (the European law on privacy), if applicable.
In this course, you’ll learn why good RDM is necessary and how it can be beneficial to your research. In two interactive workshops, we will provide you with practical guidelines and instruments to manage your data properly. You will be working on a DMP for your own research, so that you can apply the things you learn to your own project. Your DMP will be peer reviewed by another participant of the course and you will peer review someone else’s DMP. At the end of the course you will also receive feedback from an RDM expert. Due to COVID-19 the workshops currently take place online.
The course consists of the elements described below. Part of the materials need to be studied prior to the first workshop.
|Preparation (reading materials and watching videos) ||9 hours|
|2 online workshops of 2 hours ||4 hours|
|Assignment 1 | RDM Framework||4 hours|
|Assignment 2 | First draft DMP ||6 hours|
|Peer review DMP ||1 hour|
|Assignment 3 | Final DMP ||4 hours |
|Total ||28 hours (= 1 EC)|
You can receive 1 EC for this course. In order to obtain this credit, you need to meet the following requirements:
- Participate in both workshops
- Submit all assignments
- Do a peer review of someone else’s DMP
- Assignment 3 should be of sufficient quality
Links to graduate school pages
Request for certificate
Once the supervisor has approved the dissertation, the PhD candidate shall submit the final version of the courses/activities that he/she has taken to the department (is PhD coordinator). The final version is submitted together with Form II to the Vice Dean for a final check before receiving the faculty certificate.