Project Details
This standard defines a big data governance, metadata management and machine-readable reference architecture to enable scalability, findability, accessibility, interoperability and reusability of datasets among corporate heterogenous and cross-domain repositories. The standard focuses on achieving data interoperability by utilizing persistent identifiers (PIDs) to enable:
(1) a standard metadata registry for data discovery using a machine-readable format,
(2) a standard data type registry for data consumption using a machine-actionable format, and
(3) standard end-point services to convert data values between different types.
Standards Committee | |
PAR Approval |
2020-09-24
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PARs |
Working Group Details
Working Group |
BDGMM - Big Data Governance and Metadata Management
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Standards Committee | |
Society | |
IEEE Program Manager |