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[InetBib] Save the date: GO FAIR Personal Health Train Implementation Network German Chapter Workshop, 12/02/2019, Berlin
- Date: Tue, 20 Nov 2018 13:33:41 +0000
- From: go-fair via InetBib <inetbib@xxxxxxxxxx>
- Subject: [InetBib] Save the date: GO FAIR Personal Health Train Implementation Network German Chapter Workshop, 12/02/2019, Berlin
Save the date: GO FAIR Personal Health Train Implementation Network German
Chapter Workshop on 12th February 2019, Berlin
Register here: https://www.go-fair.org/registration-workshop-pht-german-chapter/
The GO FAIR Germany initiative invites researchers, care providers, technology
developers, industry, standard organizations and policy makers to join the
Personal Health Train (PHT) implementation network.
The international PHT initiative aims to increase the use of existing
biomedical data for research into personalised health & medicine, preventive
medicine, and value-based healthcare. The approach is also adopted by other
domains such as agriculture.
The GO FAIR PHT implementation network develops concepts, technologies and
reference implementations to allow communities reusing their privacy sensitive
data in an innovative way. As current German members of the network, we explore
use cases from the medical informatics initiative consortia and develop proof
of concept solutions.
Now the GO FAIR International Support and Coordination Office establishes a
German PHT chapter. The office will support all activities that enable the
building of a PHT implementation network in Germany. Stakeholders from Germany
are invited to actively join the network and collaboratively work on future
solutions for the PHT German chapter.
The aim of the German chapter is to discuss specific needs and use cases as
well as strategies to achieve sustainable solutions on a national level. The
MII projects, NFDI research infrastructures, and other communities that share
data are welcome to bring their own challenges.
Join our workshop to explore this novel data reuse approach and be part of it.
What is the PHT:
The PHT is a novel privacy-preserving approach to utilize distributed data and
is based on the principle of "data resides where it belongs to, analytics meets
data to harvest desired outcomes". In this analogy, train stations represent
data repositories that provide computational abilities to execute tasks. The
trains are the data analytics tasks such as data mining algorithms,
applications or queries which are sent to relevant stations to be executed in a
safe environment. The train does not leave the station with data that is
Who can benefit from it:
Any community or organization who wants to utilize privacy sensitive data for
any other purposes can benefit from the PHT approach, such as
. industry and researchers to develop data analytic solutions,
. data infrastructures and service providers to create a new value chain by
selling access to data
. Researchers, care providers to benefit from data driven solutions,
. Organizations, distributed system to monitor quality and asses effectiveness
. Citizens to be empowered deciding who can use their data
How can I contribute:
You can contribute the implementation network by bringing your use cases and
identifying your needs; discussing technologies, solutions and standards;
outlining a vision of reusing data beyond the boundaries of institutions or
consortia; and more.
GO FAIR Support and Coordination Office, ZBW - Leibniz Information Centre for
Economics, Neuer Jungfernstieg 21, 20354 Hamburg
Oya Beyan, Oliver Kohlbacher, Stefan Decker, Matthias Löbe, Toralf Kirsten,
Holger Stenzhorn, Monika Linne
TMF-Geschäftsstelle, Charlottenstraße 42/Dorotheenstraße, 10117 Berlin
Date: 12 February 2019 | 11:00 - ca. 17:30 o'clock
GO FAIR Germany
PHT Implementation Network
Dr. Oya Beyan
Please register here:
Listeninformationen unter http://www.inetbib.de.