RDM Courses

Courses offered by RDM
Beginner's course on building an eCRF in Castor EDC

RDM used to organize the beginner’s course on building an eCRF in Castor EDC, however you can follow Castor’s-online basic tutorials for free at Castor Academy.

Advanced course on building an eCRF in Castor EDC

RDM offers a free 2 hour online Castor Advanced Training course open to all Castor users at Amsterdam UMC. A basic understanding of Castor is required. Participants must complete the following Castor Academy tutorials (for free) at Castor Academy, prior to the session:

  • How to Get Started
  • Getting Started with Castor EDC-CDMS – Certification Course Study Building and Management in Castor EDC-CDMS – Certification Course

Next to tips and tricks for building your study, the following topics are to be covered:

  • Repeating Data
  • Surveys/Survey packages
  • Visit Data
  • Field types
  • Option groups
  • Dependencies
  • Calculations
  • (Multivariate) Validations
  • Automation Engine
  • Randomization
  • Data standardization
  • Form Sync
  • Castor Application programming interface (API)

Note this is a hands-on training course, so make sure you have access to a PC or laptop!

 For information and registering for this course, please send an e-mail to RDMtrainingen@amsterdamumc.nl with the subject ‘Castor Advanced Training’.


Next training session: expected October 2026
Data management session during the Centre-specific meeting of the BROK course

About 6 times a year, RDM organizes a session on Data Management during the center-specific meeting of the BROK course (Basis Course on the Rules & Regulations on and Organization of Clinical Studies). This course is mandatory for all researchers conducting studies subject to the WMO.

This session focuses on Research Data Management in general, as well as the Good Clinical Data Management practices required by law when conducting studies subject to the WMO and/or GCP in particular.

For more information on the BROK course.

Training course on 'RDM Writing a Data Management Plan'

Adequate research data management is at the basis of research quality, integrity and reproducibility. A researcher should be in control of his or her data through the entire research data life cycle: from study preparation and data collection, data processing and data analysis, to publishing and archiving. Both Amsterdam UMC and funding agencies request a data management plan and publishers increasingly require data to be available. During this course, you will learn how to create a good Research Data Management Plan (DMP). This course focusses on requirements from the Amsterdam UMC and funders and emphasizes FAIR (Findable, Accessible, Interoperable, Reusable) handling of data and compliance with privacy and study type-specific requirements (lab/animal/human, subject to/not subject to WMO, etc.).

This training is primarily intended for first year PhD candidates and junior researchers who are at the start of their research project, but is free of charge and accessible for all Amsterdam UMC researchers who would like to learn more about research data management and writing a DMP.

Scheduled dates
Course day 1: 16 February 2026, 09.00-12.30

Course day 2: 13 April 2026, 09.00-12.30

Course day 3: 15 June 2026, 09.00-12.30

Course day 4: 28 August 2026, 09.00-12.30

Course day 5: 19 October 2026, 09.00-12.30

Course day 6: 14 December 2026, 09.00-12.30

You can find more information and registration details on the Doctoral School website.
Course name: DS Research Data Management Writing a Data Management Plan

RDM e-learning

In this e-learning we describe how to manage and use biomedical and epidemiological research data. We will teach you how to define, collect, and process your data.

Content
We will guide you through the five phases of research data management: We will explain the relevant concepts, working procedures, and software applications for research data management. You will learn how to define, collect, and process your data in order to deliver a reliable dataset for data analysis and future reuse.

Target audience
PhD candidates and junior- and senior-researchers with an Amsterdam UMC affiliation.

Approximate duration
4-6 hours

Link for VUMC researchers: lerenbijvumcacademie

Link for AMC researchers: amcstudytube Note! Choose the ‘Leerlijn’ that includes all 8
modules of the RDM e-learning

You can also find the e-learning ‘Research Data Management’ by going to the Library -> Leerlijnen

-Choose ‘Language’ (Taal) --> ‘English’, or
-Choose ‘Onderwerpen’ (subjects) --> ‘Onderzoek’ (Research)

RDM Processing Clinical Data in SPSS

As stated in the standard operating procedure RDM001 SOP Research Data Management, all data processing steps should be verifiable and reproducible. For this reason, all data transformations and restructuring should be programmed and recorded in syntaxes
or scripts. In addition, researchers should add descriptive comments to the syntaxes or scripts that explain the data transformations and restructuring of the data and the reason why they were carried out.

This e-learning focuses on processing clinical data in the SPSS environment through
exercises on:
•Data validation and management in the statistical environment.
•Preparing the database for statistical analysis.

Target audience: All Amsterdam UMC researchers

Approximate duration: 4-6 hours

Link for AMC researchers: SPSS e-learning AMC

Link for VUMC researchers: SPSS e-learning VUMC