Automatic Evaluation of Metadata Quality in ISO 11179-3 Conformant Healthcare Metadata Repositories

The expected benefit of well-maintained metadata repositories lies in facilitating data integration and improving quality, as required data elements do not have to be re-specified, but existing high-quality predefined elements can be reused [1]. To yield the expected benefit, the included metadata must have sufficient quality. The manual verification of metadata elements is time-consuming and biased. Our aim is to apply quality criteria to metadata in healthcare and medical research settings and to develop computable validations. In order to be easily adaptable to new metadata repository systems, the quality criteria should support the standardized ISO 11179-3 metamodel [2], [3] which can be mapped to other metadata standards used in clinical research [1].
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