GUEST LECTURE SERIES „MEDICAL INFORMATION SCIENCES" (2 CME Punkte) PROF. DR. DAGMAR WALTEMATH

PROF. DR. DAGMAR WALTEMATH
(Professor of Medical Informatics and Head of Core Unit Data Integration Center,
University Medicine Greifswald)

„Health Data FAIRification: Challenges and Opportunities“

Efforts made to make data findable, accessible, interoperable and reusable (FAIR) have shown to
lead to a more sophisticated data stewardship in various scientific disciplines. One positive
consequence of a so-called FAIRification process is the increase in data use and reuse, another
observed benefit is the reduction of irreproducle scientific results due to more transparency and
richer documentation.

In this talk, I will introduce the FAIR principles in detail using examples from our own work at the
Medical Informatics Lab. We conducted a baseline assessment of the NFDI4Health metadata schema
and worked to FAIRify the core data set used for diabetes research in Germany, the SHIP laboratory
data set, and biosimulation models. Currently we run a FAIR assessment of the Medical Informatics
Core Data Set, funded by EOSC. I will highlight the usefulness of making own data FAIR and present a
few tools to do so. I will also discuss with you why it is not easy to achieve FAIRness, and we will learn
about possible next steps to implement the FAIR principles in the German medical research
community at large.

For example, we recommend that key performance indicators be established to adequately evaluate
how data FAIRness benefits health research. Future work also involves developing guidelines for
researchers in the form of a simple checklist they can follow. You can read more about these topics
in our recent scoping review on FAIR data in health care research (https://www.jmir.org/2023/1/e45013).
Prof. Dagmar Waltemaths lab focuses on research data management in biomedicine, data integration across
health care providers, provenance of clinical research data items within clinical information systems and
develops methods and tools for model management in computational biology. Furthermore, she is actively
involved in COMBINE standardisation efforts.

Date: November 21th 2023 (starting 5:30 pm)
Place: Lecture Hall N2045 (Faculty of Applied Informatics)

The lecture will be live-streamed to

• the conference room of the Institute for Digital Medicine (IDM, Gutenbergstr. 7, 86356 Neusäß, room 01.B001, first floor).
• the Main Building of the University Hospital Augsburg, Section A (first floor), room 366 (next tothe Radiology´s / Neuroradiology’s directory)!