Literature DB >> 30147037

Metadata Import from RDF to i2b2.

Mark R Stöhr1, Raphael W Majeed1, Andreas Günther1.   

Abstract

Metadata management is an important task in medical informatics and highly affects the gain out of existing health information data. Data Warehouse solutions like Informatics for Integrating Biology and the Bedside (i2b2) are common tools for identifying patient cohorts and analyzing collected clinical data while respecting patient privacy. The Resource Description Framework (RDF) is designed for highly interoperable ontology representation in various formats, facilitating ontology and metadata management. Our approach is to combine i2b2's and RDF's benefits by importing the easy-to-edit RDF ontology into the extensive-research-enabling i2b2 software. We do so by using a SPARQL Protocol and RDF Query Language (SPARQL) interface, that enables RDF data queries, and developing a java program, which then generates i2b2-specific SQL insert statements. To demonstrate our solution's feasibility, we transcribe our lung disease specific ontology to RDF and import it into our i2b2 data warehouse.

Entities:  

Keywords:  Biological ontologies; automatic data processing; information systems; metadata; organization and administration

Mesh:

Year:  2018        PMID: 30147037

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


  2 in total

1.  The Collaborative Metadata Repository (CoMetaR) Web App: Quantitative and Qualitative Usability Evaluation.

Authors:  Mark R Stöhr; Andreas Günther; Raphael W Majeed
Journal:  JMIR Med Inform       Date:  2021-11-29

2.  A National, Semantic-Driven, Three-Pillar Strategy to Enable Health Data Secondary Usage Interoperability for Research Within the Swiss Personalized Health Network: Methodological Study.

Authors:  Christophe Gaudet-Blavignac; Jean Louis Raisaro; Vasundra Touré; Sabine Österle; Katrin Crameri; Christian Lovis
Journal:  JMIR Med Inform       Date:  2021-06-24
  2 in total

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