De Universiteitsbibliotheek presenteert: Open Science Webinar met onze top UH COVID-19 onderzoekers!

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Elk jaar pleiten universiteiten over de hele wereld voor Open Science door deel te nemen aan de Internationale Open Access Week (19-25 oktober 2020).

Ter gelegenheid hiervan geven Niel Hens, Geert Molenberghs, Liesbet Peeters, Thomas Neyens en Jan Aerts uitleg over de rol van open data in COVID-19 onderzoek tijdens een online webinar georganiseerd door de Universiteitsbibliotheek op 23 oktober, van 9u30 tot 11u. 

Iedereen kan de sessie bijwonen, al is ze in de eerste plaats bedoeld voor onderzoekers, doctorandi, postdocs en (junior) professoren. 

Programma

Registreer hier: https://docs.google.com/.../1FAIpQLSdIIomiYMP.../viewform...

Sprekers

Geert Molenberghs (professor Biostatistics aan UHasselt en 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 (assistent professor in Biostatistics aan UHasselt en 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 (assistent professor in Biomedical Data Science aan 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 biostatistics aan UHasselt en UAntwerpen )

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 aan 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.

 

 

Naast dit event organiseren Open Access Belgium en de Belgische universiteiten ook 4 online sessies over verschillende open science thema's, met als doelgroep research support staff, bibliotheekmedewerkers en andere geïnteresseerden. De webinars zullen plaatsvinden op dinsdag 20 oktober en donderdag 22 oktober.

De volgende topics komen aan bod:

Dinsdag 20/10:
- Skills development for Open Science
- Training for Data Management Planning

Donderdag 22/10:
- Open Science tools: demo and discussion
- Open Science accelerating? COVID 19 examples

Indien interesse, registreer hier: https://forms.gle/itjhAQV4hT4kc97T6

Voor meer informatie en een gedetailleerd programma, zie https://openaccess.be/.../11/online-open-science-webinars/