IEEE

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.

This standard provides a framework for organization and use of new patient biomedical files containing medical imaging and imaging biomarker information for use in big data cloud-based augmented intelligence systems. In addition, this standard defines 3D digital topological mapping of information and data to human macroanatomy and microanatomy. Included in this standard are requirements to assure compliance with ethical design and value-based design standards to assure (1) patient data security with full access, sharing, and user control of their personal data; and (2) protection of the professional fiduciary relationships between physicians and patients.

This standard specifies a functional architecture that supports the energy-efficient transmission and processing of large volumes of data, starting at processing nodes close to the data source, with significant processing resources provided at centralized data centers.

Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels of compliance determined, are described in this standard.

This standard defines a digital twin maturity model for industry, including digital twin capability domains and corresponding subdomains. This standard also defines assessment methodologies, including assessment content, assessment processes, and assessment maturity levels.

This standard defines a methodology for creating possible Metaverse systems. A description of the techno-socio aspects of Metaverse systems is provided, together with a high level ethical assessment methodology for the design and operation of Metaverse systems.

This standard defines the requirements of an identity framework for metaverse. This standard provides an identity framework for use across different metaverse systems. Furthermore, the standard helps to recognize the relevance between real world and virtual world entities. The standard covers business logic, operational procedures, and authentication programs. Also, the standard defines terminologies, a basic architectural framework, and key indicators.

This standard specifies the terminology, definitions, and taxonomy for metaverse and related terms. This standard defines categories and levels of metaverse to provide clarification for metaverse users and a roadmap for metaverse developers.

The interfaces and data structures required to exchange sensing-related information in order to increase interoperability between sensors and their clients developed by different manufacturers are defined in this standard. The logical interface and supporting data structures are defined abstractly without constraining the sensing technology, client design, or data link between sensor and client. The entities involved and parameters exchanged in this process. It further elaborates on the service access points, service primitives, as well as generic procedures used to realize this information exchange, are defined by this standard.

This standard defines an application model and technical framework for green power identification based on blockchain. This standard also specifies the technical and operation management requirements of green power identification based on blockchain.

This standard defines a framework of service capability which includes the technology, human resource and qualifications of the entity and provides a set of indicators for the evaluation of service capability. It also proposes evaluation methods for the blockchain industry.

This standard defines an evaluation model and evaluation index system for using blockchain in low carbon zones, combining carbon emission scenarios and zone types. This standard also defines the technical requirements and management requirements for using blockchain for low carbon zones, including carbon accounting data sources, data storage, data interaction, data accounting, emission factor database establishment, carbon accounting method selection and prediction.