RDM Courses
Next training session: Thursday 07-DEC-2023, 14:00-16:15 hours
In collaboration with Castor EDC, RDM is organizing an (online) training session / beginner's course on building an eCRF in Castor EDC.
Amsterdam UMC has a campus license for Castor Electronic Data Capture (EDC). If you want to know how to get started with Castor EDC, take the beginner's course on building eCRF. During this course, you will learn how to properly organize your study database from start to finish guaranteeing smooth data collection. Make loose sheets of paper with data, illegible texts and Excel sheets are outdated! Store and process all your data in accordance with WMO-GCP regulations and state-of-the-art technology.
This ± 2-hour course will cover the following:
1. Setting up a study database
- Creating a Castor account and study
- Form structure and types in Castor
- Setting up an eCRF in Castor
- Creating fields, dependencies and validations
- Data entry
- Creating a record and testing the eCRF
- Modifying your study
- Creating a web survey
- Creating a survey package
- Testing a web survey
- Castor form exchange
- Importing a study structure
- Viewing your study progress
2. Study Management
- Creating and managing users
- Configuring study settings
3. Monitoring
- Tracking record progress
- Signing and Locking your database
- Queries
- Verifications
Sign up and be there! Sign up by sending an email to RDMtrainingen@amsterdamumc.nl
- Location: Online Webinar via Zoom (organized by Castor)
- Main language: English
- Certificate: No
This is a hands-on training course, so make sure you have access to a PC or laptop!
Next training session:
Tuesday 19-NOV-2024, 11:00 – 13:00 h and Wednesday 20-NOV-2024 om 11:00 – 13:00 h.
In collaboration with Castor EDC, RDM is organizing an (online) training session/course on building an eCRF in Castor.
The session for advanced users of Castor EDC consists of demos of the more 'advanced' features Castor EDC has to offer, such as encryption and the automation engine. You will also get tips and tricks for building your study and hands-on exercises.
Contents:
1. Setting up a database - advanced features, tips & tricks
- Using various types of forms effectively in Castor
- Advanced field properties
- Survey calculations
- Automation engine
- Encryption
2. Study management
- Statistics tab
- Study settings
- Audit trail
- Survey management
3. Linking Castor to other applications
- API & R package
Sign up and be there! Sign up by sending an email to RDMtrainingen@amsterdamumc.nl
(Max. 23 participants per session, participants must have an Amsterdam UMC email address)
- Location: online webinar (organized by Castor EDC)
- Main language: English
- Certificate: No
This is a hands-on training course, so make sure you have access to a PC or laptop!
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.
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: 18 March 2024, 09.00-12.30
Course day 2: 22 April 2024, 09.00-12.30
Course day 3: 17 June 2024, 09.00-12.30
Course day 4: 19 August 2024, 09.00-12.30
Course day 5: 23 September 2024, 09.00-12.30
Course day 6: 16 December 2024, 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
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
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)
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.
In this workshop we focus on processing clinical data in the SPSS environment and we will practice with:
•Data validation and management in the statistical environment.
•Preparing the database for statistical analysis.
Scheduled dates
Course day 1: 26 March, 09.00-12.00, break, 13.00-16.00
Course day 2: 11 June, 09.00-12.00, break, 13.00-16.00
Course day 3: 15 October, 09.00-12.00, break, 13.00-16.00
More information on this course can be found in the course catalogue of the Doctoral School.