In the context of the International Open Access Week (Oct. 19-25, 2020), Hasselt University Library organizes an online webinar, where Niel Hens, Geert Molenberghs, Liesbet Peeters, Thomas Neyens and Jan Aerts will give a talk on the role of open data in COVID-19 research. The event will take place on October 23rd, from 9.30 until 11.00 a.m.
Anyone can attend the session although it is primarily intended for researchers, PhD students, postdocs and (junior) professors.
Register here: Registration Form COVID-19 UHasselt
Geert Molenberghs (professor of Biostatistics at UHasselt and KU Leuven)
Topic: We will discuss the study of COVID-19 mortality as well as excess mortality, in Belgium and in an international perspective. The focus will be on both open and confidential data used to this effect.
Thomas Neyens (assistant professor in Biostatistics at UHasselt and KU Leuven)
Topic: The spatial analysis of disease risk necessitates information of disease occurrence at a high spatial resolution, especially when transmission occurs very localized. This often collides with privacy regulations that lead to spatial data being provided in an aggregated format, e.g., the municipality level. We will discuss this problem using data of confirmed COVID-19 cases in Belgium and COVID-19 symptoms, as collected during the third wave of the “Big Corona Study”, a Belgian bi-weekly online COVID-19 survey based on self-reporting.
Liesbet M. Peeters (assistant professor in Biomedical Data Science at UHasselt)
Topic: How to set-up a disease specific global data sharing initiative within a month? We will touch upon the complexity that arises when disease-specific insights have to be achieved. When “events” are rather rare, and thus data sparse, global scale-up is required. This is accompanied by several legal, ethical and technical challenges both from a data management point of view as well as data analysis point of view.
Niel Hens (Professor of biostatistics at Hasselt University and the University of Antwerp)
Topic: Mathematical modelling and statistical analysis of infectious disease data is essential to control the spread of a newly emerging pathogen such as SARS-CoV-2. I will highlight the need for, and value of, using and sharing data within this crisis.
Jan Aerts (professor Visual Analytics at UHasselt)
Topic: There are clear differences in how open science is approached in different research domains. Having worked in both the biology and the computer science field, we will describe how data and research results are communicated differently in both, and how this is reflected in the publication strategy.