This document focuses on forming a community of interest from industry, academia, and government, intending to develop a standards roadmap for Big Data Governance and Metadata Management (BDGMM). The approach includes the following: *Review BDGMM-related technology trends, use cases, general requirements, and reference architecture; * Gain an understanding of what standards are available or under development that may apply to BDGMM; * Perform standards, gap analysis, and document the findings; and * Document vision and recommendations for future BDGMM standards activities that could have a significant industry impact. Within the multitude of best practices and standards applicable to BDGMM-related technology, this document focuses on approaches that: (1) apply to situations encountered in BDGMM; (2) explore best BDGMM architectures that may be nonexistent, and (3) facilitate addressing BDGMM industry use cases’ needs.

The goal of Big Data Governance and Metadata Management (BDGMM) is to address Big Data characteristic challenges that would enable data integration/mashup among heterogeneous datasets from diversified domain repositories. This would allow data to be discoverable, accessible, and re-usable through a machine readable and actionable standard data infrastructure. This document identifies the challenges and opportunities with the ever-increasing deluge of information and forms the scope of boundaries; surveys examples of how such data exploration could impact emerging vertical application domains such as IoT, social media, smart cities, smart manufactures, and 5G wireless networks; provides a deeper understanding of the BDGMM challenges through a variety of case studies; presents a set of extracted requirements from the identified case study challenges and aggregated them into five general categories of requirements; lists the relevant standards activities that can potentially be used as en...