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 heterogeneous 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.
- Standard Committee
- C/SAB - Standards Activities Board
- Status
- Active PAR
- PAR Approval
- 2020-09-24
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/SAB - Standards Activities Board
- Working Group
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BDGMM - Big Data Governance and Metadata Management
Learn More About BDGMM - Big Data Governance and Metadata Management - IEEE Program Manager
- Jonathan Goldberg
Contact Jonathan Goldberg - Working Group Chair
- Wo Chang
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