Welcome to RDM101
Contents
Welcome to RDM101#
The Turing Way project illustration by Scriberia. Zenodo. http://doi.org/10.5281/zenodo.3332807
Research Data Management 101 (RDM 101), an openly available self-learning course!
This Jupyter book was created to make the content of the TU Delft course for PhD candidates, Research Data Management 101 (RDM 101) openly available and as a self-learning course.
The RDM 101 course is aimed at PhD candidates at TU Delft (especially in their first year) who require a hands-on introduction to Research Data Management (RDM) and Data Management Plans (DMPs). However, the course can also be useful for researchers and students interested in learning the basics of RDM at their own pace.
RDM 101 is structured in five successive modules that can be completed at your own pace. Each module contains informative videos and self-assessment quizzes to reinforce the knowledge acquired on certain topics. This self-learning course also includes suggested exercises to apply what you will be learning throughout the content.
Important note for PhD candidates at TU Delft
It is important to note that no credits or certificates will be awarded upon completion of this course under this format. TU Delft PhD candidates who are interested in obtaining the credits need to register via CoachView, which is the course registration application of the Graduate School Doctoral Education (GS DE) programme. The course offered in the GS DE programme also includes 3 class sessions (on-site or online) and discussion groups, which makes for a richer learning experience. However, in this Jupyter book you will find all the contents of the course necessary to get acquainted with good research data management and the tools you use for this purpose.
Connect with us#
We are an international team focuses on teaching open science that welcomes discussion, feedback, and contributions of many kinds. Here are a few ways to connect more with us.
🙌 Have some feedback?
If you notice any issue, or have suggestions or requests, please go the issue tracker or directly click on the icon on top of the page and then ‘open issue`. We also welcome pull requests.
Acknowledgements#
The course was created in a collaborative effort of the Research Data Services team of TU Delft Library with TU Delft Data Stewards, the Education Support team at TU Delft Library, the TU Delft New Media Centre and TU Delft researchers.
Many thanks to the Delft University of Technology, which provide support for Open Science and Open Education.