Online Masterclass: Introduction to machine learning in cancer genomics, module 1: Research Data Management
Join us for the first module of the digital version of this masterclass.
Material for self study is now available! Visit this page and scroll down to “RDM Toolkit”.
Research Data Management (RDM) is of vital importance in handling and organizing research data for the whole lifecycle of any research project, from planning to conclusion and beyond: it helps to run research activities efficiently and is at the base of any long-lasting collaboration. In addition, being able to draft a good RDM Plan is essential to all applications for funding.
We are pleased to let you know that we are organizing this Masterclass in a digital format.
- Monday, June 29, 9:30 am:
1-hour live video introduction to meet the expert and each other. Explanation on the structure of the program.
- From Monday 29 to Thursday 2 July:
Four sub-modules introduced by a knowledge clip (short video) and offline material for individual study (including exercises and case studies), with the possibility of asking questions, offline. The time commitment for this self-study is around 30 minutes to 1 hour depending on personal pace and interest.
- Friday July 3, 2:30pm:
Final 1-hour live session, with extended Q&A.
We will make use of MS teams throughout the masterclass: within the Masterclass team you will be able to access the study material and ask questions, as well as attend the live sessions.
For increased performance, we recommend you download the application on your device and do not rely on the browser version.
Register before Tuesday, June 23, by sending an email to email@example.com which should include:
- Your first and last name
- Research group
- Level of proficiency on the subject of Research Data Management (on a scale from 1-5)