To coordinate global data and AI literacy building efforts, this standard establishes an operational framework and associated capabilities for designing policy interventions, tracking their progress, and empirically evaluating their outcomes. The standard includes a common set of definitions, language, and understanding of data and AI literacy, skills, and readiness.
NEN-ISO/IEC 27021 specifies the requirements of competence for ISMS professionals leading or involved in establishing, implementing, maintaining and continually improving one or more information security management system processes that conforms to ISO/IEC 27001.
ISO/IEC 19788-1 provides metadata for learning resources (MLR) and consists of a set of data element concepts and conceptual domains (as defined in the ISO 11179 series) allowing the description of a conceptual level independently of any particular representation. This means that any educational metadata schema can be specified using MLR.
Schemas describing competencies are used in many information models related to learning, education and training, such as school transcripts, learning objectives, curricula descriptions, employer job requirements, professional association competency frameworks and national occupational classifications.
Therefore, with the development of the different parts of the ISO/IEC 19788 series and the increasing demand for information models' interoperability, the description of a “competency” in the MLR format appears as a necessity.
Use of MLR can support different types of approaches such as structured database, linked data and RDF models. This means that MLR can be used to describe objects that are used to support the development, identification, and evaluation of competencies within IT systems that use heterogeneous approaches and have varying forms, among which are included those proposed in ISO/IEC 20006-1[1] and ISO/IEC 20006-2[2].
This document provides a generic representation of a “competency” that will facilitate the exchange of information between systems using different data models to represent competencies, and the linkage of competency models to other metadata models.
This document can be used either alone or together with other standards to express and compare contextual views of schemas that describe competencies.
This document specifies a reference framework of e-Portfolio implementation that can be used to inform and support development of ITLET systems that meet the requirements of learners, instructors, e-learning service providers and others in contexts such as K-12 education, higher education, training and personal development.
The reference framework identifies content and functional components that support e-Portfolio systems. It addresses interoperability issues required for data exchange between these components and among the various categories.
This document:
— provides an e-Portfolio reference framework;
— provides descriptions of e-Portfolios in terms of components (content or functional), categories, elements and items;
— identifies commonalities of current implementations of e-Portfolios; and,
— represents the needs of stakeholders (learners, instructors, etc.).
This document does not include:
— in-depth technical review of issues related to adaptability to culture, language, and human functions;
— security techniques related to the protection of privacy information;
— authentication of the identity of an IT or ITLET system user;
— how e-Portfolios might integrate with ITLET systems; and,
— specific requirements of e-Portfolios or e-Portfolio systems to meet jurisdictional domain requirements.
This standard defines the types of occupations, competency requirements, and evaluation methods of blockchain and distributed ledger technology for service practitioners, including but not limited to competency elements, evaluated process, and employment grade. This standard applies to the ability evaluation and training of blockchain and distributed ledger technology service practitioners.