Literature DB >> 20841861

Achieving interoperability for metadata registries using comparative object modeling.

Yu Rang Park1, Ju Han Kim.   

Abstract

Achieving data interoperability between organizations relies upon agreed meaning and representation (metadata) of data. For managing and registering metadata, many organizations have built metadata registries (MDRs) in various domains based on international standard for MDR framework, ISO/IEC 11179. Following this trend, two pubic MDRs in biomedical domain have been created, United States Health Information Knowledgebase (USHIK) and cancer Data Standards Registry and Repository (caDSR), from U.S. Department of Health & Human Services and National Cancer Institute (NCI), respectively. Most MDRs are implemented with indiscriminate extending for satisfying organization-specific needs and solving semantic and structural limitation of ISO/IEC 11179. As a result it is difficult to address interoperability among multiple MDRs. In this paper, we propose an integrated metadata object model for achieving interoperability among multiple MDRs. To evaluate this model, we developed an XML Schema Definition (XSD)-based metadata exchange format. We created an XSD-based metadata exporter, supporting both the integrated metadata object model and organization-specific MDR formats.

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Year:  2010        PMID: 20841861

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions.

Authors:  Bernard de Bono; Robert Hoehndorf; Sarala Wimalaratne; George Gkoutos; Pierre Grenon
Journal:  BMC Res Notes       Date:  2011-08-30

Review 2.  Understanding the Nature of Metadata: Systematic Review.

Authors:  Hannes Ulrich; Ann-Kristin Kock-Schoppenhauer; Noemi Deppenwiese; Robert Gött; Jori Kern; Martin Lablans; Raphael W Majeed; Mark R Stöhr; Jürgen Stausberg; Julian Varghese; Martin Dugas; Josef Ingenerf
Journal:  J Med Internet Res       Date:  2022-01-11       Impact factor: 5.428

3.  CCR+: Metadata Based Extended Personal Health Record Data Model Interoperable with the ASTM CCR Standard.

Authors:  Yu Rang Park; Young Jo Yoon; Tae Hun Jang; Hwa Jeong Seo; Ju Han Kim
Journal:  Healthc Inform Res       Date:  2014-01-31
  3 in total

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