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Common data model for COVID-19 datasets.

Philipp Wegner1, Geena Mariya Jose2, Vanessa Lage-Rupprecht1

  • 1Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, 53757, Germany.

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Summary
This summary is machine-generated.

A new common data model (CDM) enhances global COVID-19 research by standardizing 4639 variables from 11 datasets. This improves data interoperability for advanced analysis and personalized risk prediction in the coronavirus disease 2019 pandemic.

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Area of Science:

  • Medical Informatics
  • Epidemiology
  • Data Science

Background:

  • The coronavirus disease 2019 (COVID-19) pandemic necessitates global, interdisciplinary research.
  • A major challenge is the lack of interoperability between diverse data sources.
  • Standardization and data mapping are crucial for advanced analysis and personalized risk prediction.

Purpose of the Study:

  • To develop a Common Data Model (CDM) for COVID-19 data.
  • To ensure interoperability and compatibility across heterogeneous COVID-19 datasets.
  • To facilitate data analysis and the development of predictive algorithms.

Main Methods:

  • Integrated 11 diverse COVID-19 datasets from various geographical locations.
  • Developed a CDM encompassing 4639 data variables, including patient demographics and disease-specific symptoms.
  • Associated each variable with data types, mappings, value ranges, units, and encodings for standardization.
  • Ensured compatibility with established standards like OMOP and FHIR.

Main Results:

  • A comprehensive CDM for COVID-19 data has been created.
  • The CDM includes basic patient information (age, sex, diagnosis) and disease indicators (e.g., Anosmia, Dyspnea).
  • Detailed variable specifications facilitate dataset standardization.
  • Compatibility with OMOP and FHIR enhances its utility.

Conclusions:

  • The developed CDM addresses the critical need for COVID-19 data interoperability.
  • This standardized model supports advanced data analysis and the creation of predictive tools.
  • The CDM is publicly available to foster collaborative global research efforts.