wega virtual breakfast: The journey to F.A.I.R. data
in clinical R&D use cases
FAIR - Findable, Accessible, Interoperable, Reusable [1]
Date:
18 June 2020 09:00 - 10:30
Connect:
Look at all the talk here.
Schedule:
09:00 - 09:10
Introduction (Daniel Domine, PhD and Christian Wattinger, PhD, wega)
09:10 - 09:35
Talk 1 - The journey to F.A.I.R. data - Ewa Jermakowicz (Roche)
09:35 - 10:00
Talk 2: Managing the life cycle of biomedical data for the Swiss Personalized Health Network (SPHN) - Prof. Dr. Patrick Ruch (HEG/HES-SO Geneva and Swiss Institute of Bioinformatics)
10:00 - 10:30
Virtual breakfast with Q&A
Abstract
Talk 1: The journey to the FAIR data
F.A.I.R.ness of data has become a strategic issue for many companies. But how can we transform a strategy into a living model that is sustainable?
Small amounts of data are stored in data centers that are never used again due to a lack of findability, accessibility or a lack of understanding of their context. The challenge starts at the very beginning, when the teams plan the data to be collected and follows its entire lifecycle.
To be successful, we need to think holistically and introduce easily understandable mechanisms to ensure that all new data complies with F.A.I.R. principles. But what should we do with data that we already have? In this presentation you will learn more about the journey to make data F.A.I.R. - both respectively and prospectively.
Talk 2: Management of the life cycle of biomedical data for the Swiss Personalized Health Network
We will report on how the FAIR association is used within the Swiss Personalized Health Network (SPHN), a Swiss-wide initiative to promote personalized health.
The presentation introduces the reader to the main objectives of BioMedIT, i.e. the IT infrastructure supporting the SPHN initiative.
We then present the design of the BioMedIT services, focusing on the data set catalogue: a set of services for collecting, searching and retrieving SPHN-generated data. We report on the evaluation of the current data set search engine, which was tested on the BioCADDIE benchmark (a large data collection).
The Speakers:
Ewa Jermakowicz
Ewa Jermakowicz is an IT business partner in the Scientific Decision Support Network at Roche, which supports biometrics and wider product development activities.
Her current focus is on processes and tools to support FAIRification of clinical trial data.
As Head of IT, she is implementing a platform that enables the aggregation of clinical data with molecular, genomic and digital biomarkers for various therapeutic areas to fully leverage Roche's scientific data to support reverse translation.
Prior to this position, she was an IT project manager and managed a number of global multi-million dollar projects in the clinical and real world data space. She has been with the company for 10 years and has previous experience in a global financial institution.
Prof. Dr. Patrick Ruch
Prof. Dr. Patrick Ruch is professor and head of research at the HEG/HES-SO Geneva (University of Applied Sciences Western Switzerland). He is also group leader and member of the foundation board of the Swiss Institute of Bioinformatics (SIB), where he leads the Elixir Data Platform (https://elixir-europe.org/platforms/data) for sustainable curation.
He received his doctorate in bioinformatics from the University of Geneva in 2002. He then held various positions in companies and public research in Europe (IBM Zurich Research Lab; EPFL Lausanne) and in the USA (National Library of Medicine, National Institutes of Health, Bethesda, MD).
In 2008 he became Professor of Information Science at HEG Geneva, where he was appointed Head of Research in 2019. He is the author of more than 100 original scientific publications in peer-reviewed scientific journals.
His current research focuses on the development of data analysis methods for the use of highly structured, semantically rich data types (Wikipedia/DBPedia, molecular biology databases, ontologies, SPARQL endpoints, ...) and unstructured content (literature, sequences, patents, ...). He is currently a board member and Co-PI of the BioMedIT infrastructure, which hosts the IT services for the Swiss Personalized Health Network.
Sources
[1] https://doi.org/10.1038/sdata.2016.18