How to set-up a Health Data Sharing Initiative
On Monday 22 April, the Research Group in Biomedical Data Sciencesof UHasselt is organising a hands-on workshop called "How to set up a health data sharing initiative?", in which participants will be through the various stages of successfully setting up and implementing this type of initiative. We aim for peer-to-peer knowledge leveraging via a number of pioneers in the field as well as demonstrating a number of crucial concepts via simple exercises (e.g. data missingness, data aggregation) and the visualisation of data via a dashboard, inspired by the COVID-19 in MS Global Data Sharing Initiative (GDSI).
Practical information:
Want to register?
- Prerequisites: basic awareness and engagement in health data sharing initiatives (no coding experience required); limited experience in executing large-scale collaborative projects
- Price: free
Pre-registration is closed. All participants are being evaluated now to see if they can be confirmed.
Organised by:
Leertraject
Programme
Part I (before lunch): Navigating the Roadmap of Setting-Up a Health Data Sharing Initiative
During
this session, the participants will be introduced into the high-level
roadmap of setting-up a data sharing initiative. We will delve into the
initial stages of ideation, mission-vision definition, stakeholder
identification, and engagement strategies necessary to establish a solid
foundation required to successfully kick-start the initiatives.
Afterwards,
we will introduce them into the process of fine-tuning the idea,
governance principles, data collection, harmonization, quality
assessment, and finally, transforming data into insightful
visualizations, ensuring a holistic approach towards initiative setup.
Part II (afternoon): Practical Examples and Hands-On Exercises
Some
basic concepts of data handling and analyses will be explained through
simple hands-on exercises. For example, participants will engage in
practical exercises involving transforming data from patient-level to
aggregated, while also addressing concerns such as handling missing data
and ensuring data quality. Next to this, we will explore how insights
can be visualized through a dashboard interface.
- Important note - these exercises will be simple and will not require coding experience or expertise in data science.
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