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 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.
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 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 document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related to AI. The guidance also aims to assist organizations to integrate risk management into their AI-related activities and functions. It moreover describes processes for the effective implementation and integration of AI risk management. The application of this guidance can be customized to any organization and its context.
This document is the first of a family of standards. ISO 19155:2012 specifies an architecture that defines a reference model with an encoding method for an identifier of a place. The concept of _place_ within ISO 19155:2012 includes _places_ not only in the real world but also those in the virtual world. These _places_ are identified using either coordinate identifiers, geographic identifiers, or virtual world identifiers such as URI. In ISO 19155:2012, an identifier of a place is referred to as a Place Identifier (PI). The reference model defines a mechanism to match multiple Place Identifiers to the same place. In addition, a data structure and set of service interfaces are also defined in this reference model. ISO 19155:2012 is applicable to location based services, emergency management services and other application domains that require a common architecture, across specific domains, for the representation of place descriptions using coordinate, geographic, or virtual world identifiers.
This document defines a conceptual schema for observations, for features involved in the observation process, and for features involved in sampling when making observations. These provide models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities. Observations commonly involve sampling of an ultimate feature-of-interest. This document defines a common set of sample types according to their spatial, material (for ex situ observations) or statistical nature. The schema includes relationships between sample features (sub-sampling, derived samples). This document concerns only externally visible interfaces and places no restriction on the underlying implementations other than what is needed to satisfy the interface specifications in the actual situation.
This document is the first of a family of standards. This document establishes the principles for describing the quality of geographic data. It:(a) defines a well-considered system of components for describing data quality;(b) defines the process for defining additional, domain-specific components for describing data quality;(c) specifies components and the content structure of data quality measures;(d) describes general procedures for evaluating the quality of geographic data; and(e) establishes principles for reporting data quality.This document is applicable to data producers providing quality information to describe and assess how well a dataset conforms to its product specification and to data users attempting to determine whether or not specific geographic data are of sufficient quality for their particular application. This document does not attempt to define minimum acceptable levels of quality for geographic data. Such information is usually present as a requirement in a data product specification, defined in accordance with ISO 19131, for example.
This document is the first of a family of standards. ISO 19160-1:2015 defines a conceptual model for address information (address model), together with the terms and definitions that describe the concepts in the model. Lifecycle, metadata, and address aliases are included in the conceptual model. The model is presented in the Unified Modeling Language (UML). The model provides a common representation of address information, independent of actual addressing implementations. It is not intended to replace conceptual models proposed in other specifications, but provides a means to cross-map between different conceptual models for address information and enables the conversion of address information between specifications. The model provides a basis for developing address specifications by individual countries or communities.
This document is the first of a family of standards. This document provides the basic information and the requirements related to the International Terrestrial Reference System (ITRS), its definition, its realizations and how to access and use these realizations. This document:(1) describes ITRS following the definitions and terminology adopted by the International Union of Geodesy and Geophysics (IUGG), the International Association of Geodesy (IAG) and the International Astronomical Union (IAU);(2) describes different categories of ITRS realizations: its primary realization, labelled the International Terrestrial Reference Frame (ITRF), other existing realizations of reference systems that are mathematically derived from the ITRS, and realizations that are aligned to the ITRF, such as GNSS-specific reference frames; and(3) categorizes procedures for realizing the ITRS.
This document defines the structure and content of a text string implementation of the abstract model for coordinate reference systems described in ISO 19111. The string defines frequently needed types of coordinate reference systems and coordinate operations in a self-contained form that is easily readable by machines and by humans. The essence is its simplicity; as a consequence there are some constraints upon the more open content allowed in ISO 19111. To retain simplicity in the well-known text (WKT) description of coordinate reference systems and coordinate operations, the scope of this document excludes parameter grouping and pass-through coordinate operations. The text string provides a means for humans and machines to correctly and unambiguously interpret and utilise a coordinate reference system definition with look-ups or cross references only to define coordinate operation mathematics. A WKT string is not suitable for the storage of definitions of coordinate reference systems or coordinate operations because it omits metadata about the source of the data and may omit metadata about the applicability of the information.
This document is the first of a family of standards. ISO 19165-1:2018 defines a preservation metadata extension of ISO 19115‑1. ISO 19165-1:2018 defines the requirements for the long-term preservation of digital geospatial data. These data also include metadata, representation information, provenance, context and any other content items that capture the knowledge that are necessary to fully understand and reuse the archived data. This document also refers to characteristics of data formats that are useful for the purpose of archiving. Geospatial data are preserved as a geospatial information package (IP). This document defines the requirements of the geospatial archival IP and details of the geospatial submission and the dissemination IPs. A geospatial archival IP is fully self-describing and allows a future reconstruction of the dataset without external documentation. The functional requirements for a preservation archive are defined in Annex D. ISO 19165-1:2018 complements standards developed by ISO/TC 211 as well as other ISO standards such as ISO 14721.