IT-tillämpningar: allmänt

This document defines a framework for assessing the quality of data governance and data management practices for participants in data spaces. It specifies the core principles, processes, and assessment elements that enable organizations to manage, monitor, and improve their data governance and data management practices. The framework comprises two components: • Process Reference Model: Defines key processes for data governance and data product management of data space participants, including its fundamental principles, structure, detailed process definitions, links to broader data governance, and required implementation measures. • Process Assessment Framework: Outlines a model to evaluate process capability by establishing six distinct quality levels expressed in terms of capability levels, describing the corresponding profiles and guiding the systematic assessment. This standard is aimed at supporting data governance and data management professionals, IT managers, quality assurance officers, and regulatory bodies. This standard is applicable to organizations of all types and sizes.

This document specifies the evaluation of computer vision systems, in the sense of measuring the quality of a system’s results to assess its functional suitability. It provides a definition of evaluation methods for those systems, together with guidance on how to select, implement and interpret those evaluation methods. This document covers quantitative metrics as well as other evaluation methods. It includes requirements on the implementation of the described metrics, and further requirements on the technical resources involved in the evaluation process.

This document describes a taxonomy of the AI tasks related to computer vision. It includes AI tasks pertaining to either the analysis or generation of images and videos.