NARSE goes OMOP: Mapping the dataset of the German National Registry for Rare Diseases to international standards

The National Registry for Rare Diseases (NARSE) is a patient registry for the consent-based collection of data from people affected by rare diseases in Germany. Its aim is to enhance patient discovery and streamline the access to information. To support the (re-)use of the data in international observational studies, it is required to transfer it to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). OMOP offers a well-defined data model and utilizes international standards to describe Real-World Data (RWD). The aim of this work is to prepare the NARSE dataset for international research by mapping it to OMOP.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-09
DOI
https://doi.org/10.5281/zenodo.13341024
Primary Topic
Genomics and Rare Diseases
Type
article
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article

NARSE goes OMOP: Mapping the dataset of the German National Registry for Rare Diseases to international standards

Zenodo (CERN European Organization for Nuclear Research)
Genomics and Rare Diseases
article

NARSE goes OMOP: Mapping the dataset of the German National Registry for Rare Diseases to international standards

article en

Abstract

The National Registry for Rare Diseases (NARSE) is a patient registry for the consent-based collection of data from people affected by rare diseases in Germany. Its aim is to enhance patient discovery and streamline the access to information. To support the (re-)use of the data in international observational studies, it is required to transfer it to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). OMOP offers a well-defined data model and utilizes international standards to describe Real-World Data (RWD). The aim of this work is to prepare the NARSE dataset for international research by mapping it to OMOP.

Zenodo (CERN European Organization for Nuclear Research)
Goethe University Frankfurt (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Institut für Lungenforschung (DE), Technische Universität Dresden (DE)
Partnerships for the goals
Openalex Percentile: Top 40%
Genomics and Rare Diseases
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