Dataset Information

Managing complex change in clinical study metadata.

ABSTRACT: In highly functional metadata-driven software, the interrelationships within the metadata become complex, and maintenance becomes challenging. We describe an approach to metadata management that uses a knowledge-base subschema to store centralized information about metadata dependencies and use cases involving specific types of metadata modification. Our system borrows ideas from production-rule systems in that some of this information is a high-level specification that is interpreted and executed dynamically by a middleware engine. Our approach is implemented in TrialDB, a generic clinical study data management system. We review approaches that have been used for metadata management in other contexts and describe the features, capabilities, and limitations of our system.

SUBMITTER: Brandt CA

PROVIDER: S-EPMC516245 | biostudies-literature | 2004 Sep-Oct

REPOSITORIES: biostudies-literature

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Publications

Managing complex change in clinical study metadata.

Brandt Cynthia A CA Gadagkar Rohit R Rodriguez Cesar C Nadkarni Prakash M PM

Journal of the American Medical Informatics Association : JAMIA 20040607 5

In highly functional metadata-driven software, the interrelationships within the metadata become complex, and maintenance becomes challenging. We describe an approach to metadata management that uses a knowledge-base subschema to store centralized information about metadata dependencies and use cases involving specific types of metadata modification. Our system borrows ideas from production-rule systems in that some of this information is a high-level specification that is interpreted and execut ...[more]

PMID: 15187070

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Dataset Information

Managing complex change in clinical study metadata.

Publications

Managing complex change in clinical study metadata.

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