Development and implementation of innovative methods and tools for biomedical data exploration
About the project
Evidence-based medicine uses high-quality, curated, and reliable data from health research, combines them with the respective individual expertise of the treating physicians and aims to make the best possible treatment decisions for individual patients. In order to generate the necessary knowledge from the accessible data sources, heterogeneous data must be combined and made comparable – a complex task from the perspective of data science. For a reliable data basis of high quality, good documentation of the research process and the resulting data is crucial. This also includes the process of integrating heterogeneous data from different sources, as the quality of the database depends to a large extent on the quality of the data sources, but no less on the quality of the data integration.
Goals
With a focus on the generation of FAIR data and the integration of standardized data formats, the junior research group MeDaX is developing an information and research platform for (bio)Medical Data eXploration. For this purpose,
- heterogeneous (bio)medical data from various sources are merged into a knowledge graph (graph database) via so-called ETL processes (ETL: Extract-Transform-Load),
- new or improved methods for computer-aided semantic enrichment, quality control, provenance and comparability are developed, and
- algorithms and tools for further processing of the data are integrated.
Various data sources, such as the Medical Informatics Initiative core data set, local population studies, biomedical ontologies, and publicly available information portals, will serve as starting points. In addition, the needs of patients and data-collecting physicians and scientists must be elicited during the set-up phase to ensure the greatest possible benefit from the MeDaX platform.
The protection of personal data and the transparent documentation and communication of scientific work as the basis for sustainable science are particularly important to the group.
Lead of the Junior Research Group
Dr. Judith Wodke
Leader of the Junior Research Group MeDaX
Medical Informatics Laboratory – Institute for Community Medicine | University Hospital Greifswald
Team
Journal publications
- Lobentanzer et al. Democratizing knowledge representation with BioCypher. Nat Biotech. 2023;41:1056–1059.
- Waltemath et al. FAIRe Gesundheitsdaten im nationalen und internationalen Datenraum.
- Ammon & Kurscheidt et al. Arbeitsgruppe Interoperabilität: Kerndatensatz und Informationssysteme für Integration und Austausch von Daten in der Medizininformatik-Initiative. Bundesgesundheitsblatt. 2024; 67:710–720.
Conference papers
- Wodke JAH et al. The MeDaX Knowledge Graph Prototype. Stud Health Technol Inform. 2023 May 18;302:147-148.
- Gierend K, Judith A.H. et al. TAPP: Defining standard provenance information for clinical research data and workflows – Obstacles and opportunities. In Companion Proceedings of the ACM Web Conference 2023 (WWW ’23 Companion). Association for Computing Machinery, New York, NY, USA, 1551–1554.
- Mazein I et al. MeDaX: A Knowledge Graph on FHIR. Stud Health Technol Inform. 2024 Aug 22;316:367-371.