Workshop 2020

Workshop: FAIRe Data Infrastructures

Details:

Thursday, October 15th, 2020 from 9:25 a.m. to 1:30 p.m.
Web-Conference via Zoom: tba (Registration)

Keynote:

Carole Goble (University of Manchester, Head of Node ELIXIR-UK, ELIXIR Interoperability Platform ExCo / e-Tools Lead for IBISBA RI / Coordinator FAIRDOM)
Niklas Blomberg (Director of ELIXIR and Coordinator of EOSC-Life)

Agenda:

09:25 – 09:30	Welcome (Martin Golebiewski, HITS, Heidelberg, D)
09:30 – 10:00	Carole Goble (University of Manchester, UK): Keynote: Faring with FAIR
10:00 – 10:15	Peter McQuilton (Oxford e-Research Centre, UK): FAIRsharing
10:15 – 10:30	Celia Alvarez-Romero (University Hospital of Seville, ES): FAIR4Health project
10:30 – 10:45	Sylvia Thun (Berlin Institute of Health, Charité & HL7 Germany): Standardization and interoperability of study data from COVID-19 clinical and public health research
10:45 – 11:00	Giorgio Cangioli (HL7 Europe): FAIRness for FHIR – Developing an implementation guide for HL7 FHIR (Fast Healthcare Interoperability Resources)

11:00 – 11:15	Break

11:15 – 11:45	Niklas Blomberg (Director of ELIXIR and coordinator of EOSC-Life): Keynote: EOSC-Life and ELIXIR infrastructures for health data (tentative title)
11:45 – 12:00	Petr Holub (EOSC-Life & BBMRI-ERIC): Developing standards for data provenance: Provenance information model for biological material and data (tentative title)
12:00 – 12:15	Christian Ohmann (KKS Düsseldorf, ECRIN): Building a metadata repository (MDR) for clinical research

12:15 – 12:30	Break

12:30 – 12:45	Oliver Stegle (DKFZ Heidelberg): The German Human Genome-Phenome Archive (GHGA) as national research data infrastructure
12:45 – 13:00	Juliane Fluck (ZB MED Cologne): The German National Research Data Infrastructure for Personal Health Data (nfdi4health)

13:00 – 13:30	Discussion (all): Which data infrastructure provided by nfdi would you consider most relevant for own work or community? What impact would you expect for data FAIRness from a national research data infrastructure for health data (Data harmonization? Standards? Metadata repositories?)? Which priorities for initial, mid-term, long-term goals of nfdi consortia in the health section?

Workshop Abstract:

This workshop is organized by the GMDS project group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", that has been established in early 2019. The aim of this project group is to bundle activities within GMDS and beyond all across Germany that deal with infrastructure support for FAIR (Finadable, Accessible, Interoperable, Reusable) data management. To this end, an exchange of experiences and expertises is intended to discuss and establish joint concepts in the field of biomedical informatics
and the underlying data and to develop implementation strategies. This workshop aims to present the GMDS project group as well as data infrastructure approaches and corresponding initiatives and their platforms for biomedical basic and translational research, which are based on the FAIR principles.

The workshop will start with a keynote presentation about the FAIR guiding principles for scientific data management and stewardship and their implementation in the life sciences, which will be followed by several presentations introducing national and international initiatives that aim at facilitating “FAIRification” of data in the biomedical research area. The participants of the workshop will discuss the requirements for domain-specific data management infrastructures and their underlying prerequisites such as data standards and standardisation strategies. Strategic approaches for FAIR data management will be outlined as a basis for the next steps and joint activities. The target group of the workshop includes infrastructure providers who develop and operate FAIR tools and platforms for biomedical research, representatives of the relevant specialist communities and research networks that use or wish to use FAIR data infrastructures, as well as all other interested parties interested in the improvement and better dissemination of FAIR data management strategies.