Menu
Introduction
  • Structure of the course
  • DMPonline
Research Data Management Basics
  • The Research Data lifecycle
  • Discover and Initiate
  • Plan and Design
  • Collect and Store
  • Process and Analyse
  • Document and Preserve
  • Publish and Share
  • Summary
Data package and Data assets
  • What is a data asset?
  • Data categorisations
  • Summary
Personal Data
  • What is personal data?
  • The General Data Protection Regulation (GDPR/ AVG)
  • 7 principles of the GDPR
  • Summary
Working with personal data
  • Legal ground
  • Anonymous and pseudonymous data
  • Security Measures
  • Summary
Data storage
  • Storage considerations
  • Storage options
  • Summary
Metadata and documentation
  • Metadata
  • Documentation
  • Summary
Archiving
  • Where to begin
  • Steps to archiving
  • What to include?
  • Summary
Closing Summary
Additional information resources
  • Search in arrangement
    bèta
  • Colophon
  • Options
    Use
    • Download as PDF
    • All download options
    • Copy arrangement
    Display
    • Menu left
    • No menu
    • Menu below for digital board
  • wikiwijs-logo
    • About Wikiwijs
    • Wikiwijs updates
    • Disclaimer
    • Privacy
    • Cookies
    Wikiwijs is a product of

Introduction to Research Data Management

Introduction to Research Data Management

Introduction

Introduction to Research Data Management


 

This course provides an introduction to Research Data Management (RDM) and guides you in creating your own Data Management Plan (DMP). Throughout the modules, you will explore key processes and best practices in Research Data Management, with a strong focus on applying them to your own project. By the end of the course, you will be equipped to develop a comprehensive data management plan. Additionally, recommendations on appropriate tools and best practices will be provided throughout the course.

 

Keep an eye out for these boxes, they might have some useful tips and tricks.

 

Before you start, it is recommended to read over this list of definitions related to data management, these terms will be used throughout the course.

 

Navigate through the pages using the arrows.

Colophon

The arrangement Introduction to Research Data Management is made with Wikiwijs of Kennisnet. Wikiwijs is an educational platform where you can find, create and share learning materials.

Author
FGB Research Data Management
Last modified
2025-07-31 15:22:16
License

This learning material is published under the Creative Commons Attribution 4.0 International license. This means that, as long as you give attribution, you are free to:

  • Share - copy and redistribute the material in any medium or format
  • Adapt - remix, transform, and build upon the material
  • for any purpose, including commercial purposes.

More information about the CC Naamsvermelding 4.0 Internationale licentie.

Additional information about this learning material

The following additional information is available about this learning material:

Description
Introduction to Research Data Management Audience: Students Level: introduction
Education level
WO - Bachelor; WO - Master;
Learning content and objectives
Documentaire informatievoorziening;
End user
leerling/student
Difficulty
gemiddeld

Sources

Source Type
Introduction to Research Data Management
https://youtu.be/JovDUak1kuA
Video
RDM basics
https://youtu.be/Ed6GCFrOh3M
Video
The data package
https://youtu.be/fsrsQ71quCk
Video
Personal data
https://youtu.be/xPdfjfSmeQs
Video
Working with personal data
https://youtu.be/Vs8YWHlGCJk
Video
Data storage
https://youtu.be/8C1NWk27wY8
Video
Documentation and Metadata
https://youtu.be/xEkUQLr2ow8
Video
Archiving your data
https://youtu.be/0fpJBI3rFLI
Video
Closing Summary
https://youtu.be/gEpTTVOMV_M
Video

Used Wikiwijs arrangements

onbekend. (z.d.).

Introduction to Research Data Management - kopie 1

https://maken.wikiwijs.nl/217443/Introduction_to_Research_Data_Management___kopie_1

Introduction to Research Data Management
en
FGB Research Data Management
2025-07-31 15:22:16
Introduction to Research Data Management Audience: Students Level: introduction
educationLevel
OnderwijsBegrippenKader
WO - Bachelor
http://purl.edustandaard.nl/begrippenkader/18656a7c-95a5-4831-8085-020d3151aceb
educationLevel
OnderwijsBegrippenKader
WO - Master
http://purl.edustandaard.nl/begrippenkader/2998f2e0-449d-4911-86a2-f4cbf1a20b56
educationalSubject
OnderwijsBegrippenKader
Documentaire informatievoorziening
http://purl.edustandaard.nl/begrippenkader/7f772375-6e8e-43fe-9b08-d7f3971d8cc9
leerling/student

Download

You can download the entire arrangement in the formats listed below.

  • PDF
  • JSON
  • IMSCP package

Metadata

  • Metadata overview (Excel)

LTI

Learning environments that use LTI can play Wikiwijs arrangements and tests and report results. To do this, the learning environment must be registered with Wikiwijs. Do you want to use the LTI connection? Send an email to info@wikiwijs.nl with the request to set up an LTI connection.

Are you already registered with us? You can use the Launch URLs below.

Arrangement

Exercises and tests

Research Data Life Cycle Summary

Research Data Assets

Is this personal data?

What is the right classification?

Identify Metadata Types

IMSCC package

If you don’t want to copy the Launch URLs separately, but want to download them all at once, download the IMSCC package.

  • IMSCC package

QTI

The exercises and tests of this arrangement can also be downloaded as QTI. This consists of a ZIP file that contains all information about the specific exercise or test; order of questions, images, points to be achieved, etc. Environments with a QTI player can play QTI.

Version 2.1 (NL)

  • Research Data Life Cycle Summary
  • Research Data Assets
  • Is this personal data?
  • What is the right classification?
  • Identify Metadata Types

Version 3.0 beta

  • Research Data Life Cycle Summary
  • Research Data Assets
  • Is this personal data?
  • What is the right classification?
  • Identify Metadata Types

For developers

Wikiwijs learning materials can be used in an external learning environment. Technical connections can be made and the learning material can be exported in various ways. More information about this can be found on our Developers Wiki.

Close