• Home
  • Membership
    • Join the Pistoia Alliance
    • About Us
    • Vacancies
  • Projects
    • All Projects
    • AbVance
    • AI and ML
    • Chemical Safety Library
    • Controlled Substance Compliance Expert Community
    • DataFAIRy BioAssay
    • Digital Health Data in Clinical Studies
    • FAIR Implementation
    • HELM
    • Informed Consent Blockchain
    • Methods Database
    • Ontologies Mapping
    • SEED Project
    • UDM
    • User Experience for Life Sciences
    • New ideas
  • Events
    • April Conference Registration
    • All events
    • Past Webinars
    • Submit an Event
  • News
  • Blog
  • Innovation
    • Submit an idea
    • President’s Startup Challenge
      • President’s Startup Challenge – for startups
      • Alumni 2019
      • Alumni 2018
      • Alumni 2017
      • Alumni 2016

  • Home
  • Membership
    • Join the Pistoia Alliance
    • About Us
    • Vacancies
  • Projects
    • All Projects
    • AbVance
    • AI and ML
    • Chemical Safety Library
    • Controlled Substance Compliance Expert Community
    • DataFAIRy BioAssay
    • Digital Health Data in Clinical Studies
    • FAIR Implementation
    • HELM
    • Informed Consent Blockchain
    • Methods Database
    • Ontologies Mapping
    • SEED Project
    • UDM
    • User Experience for Life Sciences
    • New ideas
  • Events
    • April Conference Registration
    • All events
    • Past Webinars
    • Submit an Event
  • News
  • Blog
  • Innovation
    • Submit an idea
    • President’s Startup Challenge
      • President’s Startup Challenge – for startups
      • Alumni 2019
      • Alumni 2018
      • Alumni 2017
      • Alumni 2016
Contact Us

Search...

  • Menu

Lynx: A FAIR-fuelled Reference Data Integration & Look up Service at Roche

  • Tweet
Map Unavailable

Date/Time
Date(s) - 24 Mar 2021
4:00 pm - 5:00 pm

Categories

  • Member Submitted


Roche, as a leading biopharmaceutical company and member of the Pistoia Alliance, has a diverse and distributed ecosystem of platforms to manage reference data standards used at different parts of the organization. These diverse reference data standards include ontologies and vocabularies to capture specifics of the research environment and also to describe how clinical trial data are collected, tabulated, analysed and finally submitted to regulatory authorities. In the context of the EDIS program, Roche has bridged these parts to improve reverse translation from studies into research and also embraced FAIR to emphasise machine-actionability and data-driven processes.

 

In this Webinar we will present and provide technical details of Lynx, a FAIR-fuelled system to enable seamless access across that ecosystem. On the one hand, Lynx exploits machine-readable, FAIR Knowledge Graphs to allow for accessing and combining multiple and disparate reference data systems. On the other hand, Lynx bridges the gap for non-experts with an intuitive and user-friendly way of finding and exploring FAIR data.

 

Speakers

 

Dr. Javier D. Fernández is a Senior Information Architect at Roche in Basel, Switzerland.

Javier’s work currently focuses on enabling data interoperability and, in general, data FAIRification, facilitating the creation, management and efficient consumption of Knowledge Graphs in the context of clinical data. Javier holds a joint PhD in Computer Science at the University of Valladolid (Spain) and the University of Chile (Chile) and is author of more than 40 scientific contributions at international journals and conferences. Before joining Roche, he was a researcher at the Institute of Information Business of Vienna University of Economics and Business (WU Wien), Sapienza Universita di Roma (Italy) and the Ontology Engineering Group (OEG) at Universidad Politécnica de Madrid (Spain).

 

Dr Nelia Lasierra is a Principal Information Architect at Roche in Basel, Switzerland.

Nelia’s is passionate about delivering innovative solutions that provide healthcare benefit. In her current job, she is working towards improving meta (data) management activities by driving the implementation of FAIR principles through Knowledge Graphs and Linked Data based solutions. She has a doctorate from the University of Zaragoza (Spain) in the field of Medical Informatics. Before joining Roche, she was a researcher at the University of Zaragoza (Spain), University of Innsbruck (Austria) and University for Health Sciences, Medical Informatics and Technology (UMIT) (Austria).

 

Register here

 

 

 

Posted on March 24, 2021 by Zahid Tharia
Categories: Member Submitted


Events

16 Mar 2021 - 25 Mar 2021

Pistoia Alliance Virtual User Experience Life Science Conference 2021

Book this event >
18 Mar 2021

Webinar: Identifying Human Protein Targets for COVID-19 Treatment

Book this event >
24 Mar 2021

Lynx: A FAIR-fuelled Reference Data Integration & Look up Service at Roche

Book this event >
26 Mar 2021

Webinar: Data Harmonisation – the Foundation for Effective Digital Transformation

Book this event >
Recent Posts
Bridging the Gap: Why Should UX’ers Care About Data?
01 Jan 2021

TweetData is Vital to Life Sciences   Data can...

Read More >
Learnings from judging the Code2Care Hackathon – the winners, ideas and themes and most importantly, focusing on the patient.
21 Oct 2020

TweetIn recent months I’ve had the privilege of seeing...

Read More >
Measuring UX Maturity with a UXLS Maturity Model
02 Oct 2020

TweetAs UX becomes a part of the DNA of...

Read More >
Design Thinking and UX are like two peas in a pod!
11 Jun 2020

TweetIn large companies, design sounds risky and introduces a...

Read More >
Follow Us
Active Projects
Methods on Demand
Informed Consent Blockchain
Digital health data in clinical studies
SEED Project
User Experience for Life Sciences
FAIR Implementation
DataFAIRy BioAssay
Methods Database
AI and ML
HELM
Sign up for Pistoia Alliance Communications

© Copyright Pistoia Alliance, Inc., 2020 | Contact us at info@pistoiaalliance.org | Terms of use | Privacy Statement

By clicking "Agree" you are agreeing to the following terms and conditions for the use of the UDM XML Schema definition.

This website intends to use cookies to improve the site and provide you with a better browsing experience. If you select "Continue" or continue to browse the site without customizing your choices, you agree to our use of cookies. Find out more in our Online Privacy Statement.

Continue More Info