Data Story 4: How to make large scale phenotypic data internationally competitive within a population-based cohort study

The Storyteller

© Carsten Oliver Schmidt

Prof. Dr. Carsten Oliver Schmidt, Universitätsmedizin Greifswald

  • Since 2016: W2-Professor for “Quality in Health Science“, Universitätsmedizin Greifswald, Head of functional division “Quality in Health Sciences“, Dept. SHIP-KEF, Universitätsmedizin Greifswald
  • Since 2009: Deputy Head at the Institute of Community Medicine, Dept. SHIP-KEF, Universitätsmedizin Greifswald
  • 2003 – 2009: Reasearch Assistant at the Institute for Community Medicine, Dept. Methods of Community Medicine, Universitätsmedizin Greifswald
  • 2000 – 2003: Research Assistant at the Institute of Psychologie, Fernuniversität Hagen
  • 1998 – 2000: Research Assistant at the department of Clinical and Applied Psychology, University of Bonn

 

I am professor at the Institute of Community Medicine, University Medicine of Greifswald and within this institute deputy head of the Department of SHIP/ Clinical-Epidemiological Research. I lead the functional division “Quality in the Health Sciences”. My research focuses on methods and research quality related projects. This comprises for example developments related to metadata standards, quality management procedures, data quality tools and other research infrastructures. As to study design, I foremost deal with population based observational health studies. My projects also relate to the data linkage of primary and secondary data including registries, claims data, and hospitals. Research topics beyond methods comprise the study of subclinical and clinical disorders, particularly musculoskeletal disorders, and incidental findings.

 

 

When?

20.09.2022, 16:00-17:00 CEST

 

16:00 Welcome, Prof. Iris Pigeot

16:10 Data Story 4, Prof. Dr. Carsten Oliver Schmidt

ca. 16:40 Discussion


Where?

Online via VC


Language?

English

Everyone interested in the Data Story is invited to sign up.

The Story

How to make large scale phenotypic data internationally competitive within a population-based cohort study

After reunification, North-Eastern states had the lowest life expectancy in Germany. One hypothesis was the regional accumulation of health-related risk factors, but scientific evidence was lacking. This was a major reason for initiating the population-based Study of Health in Pomerania (SHIP) in Greifswald in the late 1990s in the adult general population. Initially planned as a cross-sectional study, it has now been running for 20 years. One of the world's most extensive clinical examination programs was implemented, which proved to be a considerable challenge due to the many data sources. Largely automated processes in a  centralized data management processes have been setup including dedicated software developments. This has laid the foundation for numerous national and international cooperations, enabling more than 1000 interdisciplinary publications. New findings relate, among other things, to the accumulation of cardiometabolic risk factors and diseases in the region. The latest extension of SHIP concerns the examination of humans and animals as part of a one-health approach.

Data Automation