ADS Drinks & Data: Deep Dive into Semantic Resources in Biomedicine
Title: ADS Drinks & Data: Deep Dive into Semantic Resources in Biomedicine
Date: Thursday 12 April 2018
Location: VU Amsterdam Main Building – Agora 1
Registration: Amsterdam Data Science Meetup Page
In this ADS Drinks & Data we will highlight cutting-edge research with a focus on Semantic Resources in Biomedicine. There will be an opportunity for audience participation and interaction to discuss the key challenges within this domain. There will also be a chance to network after over drinks & bites!
15:45-16:00 Coffee & walk-in
16:00 – Introduction & Chair by Jaap Heringa, Professor of Bioinformatics and Director, Centre for Integrative Bioinformatics, VU – https://www.cs.vu.nl/~heringa/
16:00-16:25 – Rob Hooft, Manager ELIXIR NL (Dutch Techcentre for Life Sciences ) https://www.dtls.nl/team/dr-rob-hooft/
Title: FAIR data at DTL
Abstract: The Dutch Techcentre for Life Sciences (DTL) has been one of the organisers of the meeting that resulted in the FAIR principles. Since then, DTL and DTL partners have worked on technical implementation of a number of applications of FAIR data, worked with people maintaining reference data resources and repository software to help them become more FAIR, and also worked on FAIR based data management planning. This talk will give a broad overview.
16:25-16:50 – Anton Feenstra, Assistant Professor, IBIVU/Bioinformatics, Vrije Universiteit Amsterdam – http://www.few.vu.nl/~feenstra/
On SCRY software, biomedical network mining & network annotations
16:50-17:00 – Wrap-up by Jaap Heringa & further questions
17:00-17:45 – Drinks & Networking
Registration is free but please do so in advance through Meet-up
The event will be in English and is open to all
Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.