Research Data Management (workshop)


Research Data Management (workshop)

This course addresses the broader concept of Research Data Management through the biomedical research data lifecycle. Participants will be guided through current concepts, working procedures and tooling on data management. You will learn how to define, collect and process your data in order to deliver a reliable data set for data analysis and future reuse.


E-learning and (optional) workshops: The e-learning consists of 8 compulsory modules. The workshops are optional and are composed of a basic and an optional module. The e-learning needs to be completed before participating in the workshops. The basic workshop session is mandatory for all those participating in the workshops.. The optional workshop sessions focusses on clinical data and are optional.

Scheduled dates

E-learning (self-study) can be started at any date. See more information and link: Research Data Management (e-learning)

Workshops (optional, but only after having followed the e-learning)

Edition 1: September 12 and 13, 2022

Edition 2: November 28 and 29, 2022

Edition 3: March, 13 and 14, 2023

For VUmc PhD: please follow the course Writing a Data Management Plan.

Target Audience

The e-learning and basic workshop session address topics of interest to any researcher that deals with data, while the optional workshop sessions on clinical data targets clinical researchers. We advise to take the course in the beginning of your PhD trajectory.

Study load

3-4 hours for the e-learning is equal to 0.1 ETCS.

The course with workshops included is valid for 0.5 ETCS. 4 hours for the basic workshop session (including homework) and 6 additional hours for the workshops sessions on clinical data.



- What is research data management, FAIR principles

- Amsterdam UMC procedures on research data management

- The research data lifecycle

- Study preparation: privacy aspects, reuse of data, data capture systems, data storage

- Data collection: data validation, change control

- Processing & analysis: version control, statistical analysis plan

- Writing & publishing: linking data to a publication

- Archiving & open data: tooling, open/restricted access

Basic workshop session:

- E-learning: questions and answers

- Demos of finding existing data and samples collections

- Practice: FAIR data management

- Practice: Write your own datamanagement plan

Optional workshop sessions on clinical data:

- Practice: Write your own Datamanagement plan

- Practice: Write a Statistical analysis plan for a case study

- Practice: Data validation and management in the statistical environment (SPSS)

- Practice on preparing the database for statistical analysis (SPSS)

Number of participants

E-learning: no limit / workshops: 25 participants.


E-learning only: no certificate issued.

Workshops: Attendance is registered.

Course Coordinator

Dr. R.A. Scholte

More information

Geldige e-mail is verplicht Vraag is verplicht