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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Towards Data Value-Level Metadata for Clinical Studies.

Meredith Nahm Zozus1, Joseph Bonner2

  • 1Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR.

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|February 11, 2017
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Summary
This summary is machine-generated.

This study identifies seven sources of data value-level metadata for clinical research traceability. It categorizes metadata by origin, definition, and operations, aiding data management and quality.

Keywords:
Clinical Research Informaticsdata qualitymetadatareproducibilitytraceability

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Area of Science:

  • Clinical research informatics
  • Data management in healthcare
  • Biomedical data science

Background:

  • Existing metadata standards for clinical studies lack comprehensiveness for data traceability.
  • Effective data traceability is crucial for clinical research integrity and reproducibility.

Purpose of the Study:

  • To articulate comprehensive metadata standards supporting data traceability in clinical studies.
  • To identify and categorize data value-level metadata sources across diverse clinical research designs.

Main Methods:

  • Examination of seven distinct sources of data value-level metadata.
  • Categorization of metadata based on data origin, definition, and processing operations.
  • Analysis of metadata related to data changes, movement, retrieval, and quality assessments.

Main Results:

  • Enumeration of seven key sources for data value-level metadata in clinical research.
  • Development of a categorization framework for metadata describing data origin, definition, and operations.
  • Identification of metadata types including data transformation, movement, retrieval, and quality assurance.

Conclusions:

  • A structured approach to data value-level metadata is essential for enhancing clinical study data traceability.
  • The proposed metadata framework supports robust data management, quality control, and research integrity.
  • Further exploration of implications for tracking and managing detailed metadata is warranted.