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— sets out an appraisal framework for datasets and data processing methods that create and use urban management information derived from statistics, objectives, indicators and long-term goals for sustainable development of cities and communities.
— supports numerous combinations of data sources and data processing methods, making it easier to create and maintain urban management information and get ready for value mining of big data within cities and communities;
— provides approaches on how to appraise the necessary data to generate management information in an organization and how to classify them into different categories for regular review and update over time;
— provides functional requirements to support the design and management of information systems, and provides appropriate approaches to monitor daily operation through data analysis;
— will be continuously improved for better performance in the sustainable development field.
— can also be of use in research and education activities.
— can be used to support data and dataset management for the ISO 37120 series, but does not provide guidance on how to use the ISO 37120 series.
This document is compatible with AI systems to facilitate cities and communities to be ready for the future application of AI within digital development areas relevant to sustainable cities and communities, including the use of AI systems to process and analyse data collected from various owners, to identify and solve problems that cities and communities face, to aid decision-making and to achieve sustainability purposes (as listed by ISO 37101) and UN Sustainable Development Goals in the long term. This document is in line with the delivery principles of a smart city provided by ISO 37106, including visionary, citizen-centric, digital, open and collaborative.
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