Training & seminars

Training ‘Writing a Data Management Plan’ for PhD students

Practical organisational issues
The University Library is organising a course called ‘Writing a Data Management Plan’ aimed at PhD students. You learn how you write a good Data Management Plan (DMP), in which you discuss:

•    which laws and codes of conduct your research should comply with,
•    where you are going to store your data,
•    where you are going to archive them for the long term,
•    how you can make them FAIR (Findable, Accessible, Interoperable, Reusable).

The course is tailored to the faculties of VU Amsterdam and we organise it in collaboration with the university graduate schools and PhD coordinators. Below you can find how the course is being organised in your faculty. If the course is embedded in another course taught in your faculty, we recommend getting in touch with your graduate school for the planning (see below). Registration forms for the independent courses can be found in the Library Event Calendar.

The course is also embedded in the course about High Performance Computing (HPC) taught at VU Amsterdam. In case you are interested in HPC, you also have the opportunity to take the session about writing a DMP there.

This course is intended for PhD students at the VU. If you're not doing a PhD or if you're affiliated at another institution, but are nevertheless interested in this course, please get in touch with  rdm@vu.nl.

From 2020 onwards, the course will no longer be organised for VUmc. If you are interested in a course about Research Data Management at VUmc, please get in touch with datamanagement@vumc.nl.

Do you have questions about the content of the training or practical issues? Please contact rdm@vu.nl.

Faculty
Embedding in curriculum
More information
Next courses (status 6-11-2020)
ACTA
Independent training
To be scheduled, contact b.j.j.hattink@acta.nl
Unknown
Bèta
Independent training
(together with FGB)
Contact
bestuurssecretariaat.beta@vu.nl
See the Library Event Calendar for the specific dates
Dec. 2020 – Jan. 2021 (GDPR),
Jan. – Feb. 2021 (without GDPR)
March 2021 (GDPR)
April – May 2021 (GDPR)
May – June 2021 (without GDPR)
FGB
Independent training
(together with Bèta)
Contact
pec.fgb@vu.nl

See the Library Event Calendar for the specific dates
Dec. 2020 – Jan. 2021 (GDPR),
Jan. – Feb. 2021 (without GDPR)
March 2021 (GDPR)
April – May 2021 (GDPR)
May – June 2021 (without GDPR)
FGW
Embedded in the course
'Research Integrity'
Contact graduate.school.fgw@vu.nl
Fall 2021
FRT
Embedded in the online
course 'Research Design'
See the FRT graduate school's website
or contact onlinecourses.grad.school.the@vu.nl
February-March 2021
FSW
Independent training
See the FSW graduate school's website
or contact graduate.school.fsw@vu.nl
Spring 2021
RCH
Independent trainingContact graduateschool.rechten@vu.nl
Unknown
SBE
Independent trainingContact graduateschool.abri@vu.nl
Unknown
n.a.
Part of HPC course
See the HPC-website
Unknown


Description of the content of the training
Good RDM (e.g. storing, sharing, archiving, describing your research data) contributes to research transparency and integrity. Due to the advance of new technologies for data collection, numbers of files  and data volumes and 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 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 (GDPR) for groups for which this privacy legislation is 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)
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

Details for FGB and Bèta
The combined course for FGB and Bèta 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.