ODM Clinical Data Generator: Syntactically Correct Clinical Data Based on Metadata Definition.

Operational data model data generation test dataset

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
24 May 2021
Historique:
entrez: 27 5 2021
pubmed: 28 5 2021
medline: 1 6 2021
Statut: ppublish

Résumé

The Operational Data Model (ODM) is a data standard for interchanging clinical trial data. ODM contains the metadata definition of a study, i.e., case report forms, as well as the clinical data, i.e., the answers of the participants. The portal of medical data models is an infrastructure for creation, exchange, and analysis of medical metadata models. There, over 23000 metadata definitions can be downloaded in ODM format. Due to data protection law and privacy issues, clinical data is not contained in these files. Access to exemplary clinical test data in the desired metadata definition is necessary in order to evaluate systems claiming to support ODM or to evaluate if a planned statistical analysis can be performed with the defined data types. In this work, we present a web application, which generates syntactically correct clinical data in ODM format based on an uploaded ODM metadata definition. Data types and range constraints are taken into account. Data for up to one million participants can be generated in a reasonable amount of time. Thus, in combination with the portal of medical data models, a large number of ODM files including metadata definition and clinical data can be provided for testing of any ODM supporting system. The current version of the application can be tested at https://cdgen.uni-muenster.de and source code is available, under MIT license, at https://imigitlab.uni-muenster.de/published/odm-clinical-data-generator.

Identifiants

pubmed: 34042873
pii: SHTI210048
doi: 10.3233/SHTI210048
doi:

Types de publication

Journal Article

Langues

eng

Pagination

35-40

Auteurs

Tobias J Brix (TJ)

Institute of Medical Informatics, University of Münster, Germany.

Ludger Becker (L)

Institute of Computer Science, University of Münster, Germany.

Timm Harbich (T)

Institute of Computer Science, University of Münster, Germany.

Johannes Oehm (J)

Institute of Medical Informatics, University of Münster, Germany.

Maximilian Fechner (M)

Institute of Medical Informatics, University of Münster, Germany.

Martin Dugas (M)

Institute of Medical Informatics, University of Münster, Germany.

Michael Storck (M)

Institute of Medical Informatics, University of Münster, Germany.

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