New and Emerging Specs & Standards (November 2022)
ISO 13008:2022 Information and documentation — Digital records conversion and migration process
Technical Committee: ISO/TC 46/SC 11 Archives/records management
“This document specifies the planning issues, requirements and procedures for the conversion and/or migration of digital records in order to preserve the authenticity, reliability, integrity and usability of such records as evidence of business functions, processes, activities and transactions. These procedures do not comprehensively cover: backup systems; preservation of digital records; functionality of trusted digital repositories; the process of converting analogue formats to digital formats and vice versa.”
Technical Committee: ISO/IEC JTC 1/SC 27 Information security, cybersecurity and privacy protection
“This document describes a user-centric framework for handling personally identifiable information (PII), based on privacy preferences and privacy preference administration within information and communication technology (ICT) systems. ICT systems which handle PII implement privacy control mechanisms. To ensure these mechanisms are implemented effectively in ICT systems, PII is controlled using privacy preferences which are set (directly or indirectly) by the relevant PII principal, including consent information. When PII is processed based upon authorities other than consent, ICT systems can, where appropriate, incorporate mechanisms to improve transparency and adjust PII processing in accordance with the preferences of the PII principal. PII principals can make informed use of a system only when they understand the scope of its privacy implications, which is improved when the actionable privacy control options align in an intuitive way with PII processing undertaken in the ICT system.
Mechanisms that incorporate a PII principal’s privacy preferences into machine-readable settings for each PII handling system can be useful. Moreover, such collected PII may be shared or transferred among other service providers according to the PII principal’s preferences. The framework is intended to help organizations include user-centric PII handling mechanisms in their systems following privacy-by-design principles and realize PII handling based on privacy preferences of PII principals. The framework includes components designed to manage privacy preference information, and sub-components that are implemented within that component are defined in this document. However, this document does not specify the content and format of privacy preference information.”
ISO/IEC TS 4213:2022 Information technology — Artificial intelligence — Assessment of machine learning classification performance
Technical Committee: ISO/IEC JTC 1/SC 42 Artificial intelligence
"This document specifies methodologies for measuring classification performance of machine learning models, systems and algorithms. […] As academic, commercial and governmental researchers continue to improve machine learning models, consistent approaches and methods should be applied to machine learning classification performance assessment. Advances in machine learning are often reported in terms of improved performance relative to the state of the art or a reasonable baseline. The choice of an appropriate metric to assess machine learning model classification performance depends on the use case and domain constraints. Further, the chosen metric can differ from the metric used during training. […] This document describes approaches and methods to ensure the relevance, legitimacy and extensibility of machine learning classification performance assertions."
ISO 13119:2022 Health informatics — Clinical knowledge resources — Metadata
Technical Committee: ISO/TC 215 Health informatics
“This document specifies a number of metadata elements that describe resources containing medical knowledge, primarily digital documents provided as web resources, accessible from databases or via file transfer, but can be applicable also to paper documents, e.g. articles in the medical literature. The metadata elements support unambiguous and international understanding of important aspects to describe a resource, e.g. purpose, issuer, intended audience, legal status and scientific background, are applicable to different kinds of digital resources, e.g. recommendation from consensus of a professional group, regulation by a governmental authority, clinical trial protocol from a pharmaceutical company, scientific manuscript from a research group, advice to patients with a specific disease, review article, are possible to present to human readers including health professionals as well as individuals/patients, and are potentially usable for automatic processing, e.g. to support search engines to restrict matches to documents of a certain type or quality level. The metadata elements defined in this document are not intended to describe documents about a single patient, such as medical records, describe details of the medical content of the resource (but some idea of the content can be described via keywords or codes), or prescribe criteria for the quality of the resource content.”
