Governance and metadata management poses unique challenges with regard to the Big Data paradigm shift. The governance lifecycle needs to be sustainable from creation, maintenance, depreciation, archiving, and deletion due to volume, velocity, and variety of big data changes and can be accumulated whether the data is at rest, in motion, or in transactions.
Furthermore, metadata management must also consider the issues of security and privacy at the individual, organizational, and national levels.
From the new global Internet, Big Data economy opportunity in Internet of Things, Smart Cities, and other emerging technical and market trends, it is critical to have a standard reference architecture for Big Data Governance and Metadata Management that is scalable and can enable the Findability, Accessibility, Interoperability, and Reusability between heterogeneous datasets from various domains without worrying about data source and structure.
The goal of this Activity is to enable data integration/mashup among heterogeneous datasets from diversified domain repositories and make data discoverable, accessible, and usable through a machine readable and actionable standard data infrastructure.
IEEE BDGMM was created jointly by the IEEE Big Data Initiative and the IEEE Standards Association.
We cordially invite scientists, researchers, developers, and practitioners to participate, review, discuss, comment, and provide contributions that could foster BDGMM activities from diverse perspectives and better support Big Data applications and analytics. Key experts would include but are not limited to:
To learn how to join the Big Data Governance and Metadata Management team, please express your interest by sending an inquiry to: