| Work group:
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Q4/20 (Presentation Web page is available here)
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| Title:
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Data analytics, sharing, processing and management, including big data aspects, of Internet of Things (IoT) and smart sustainable cities and communities (SSC&C)
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| Description:
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1 Motivation
ITU-T Study Group 20 focuses on the framework and roadmaps for the harmonized and coordinated development of the Internet of Things (IoT), machine-to-machine (M2M) communications, ubiquitous sensor networks, and relevant emerging technologies. In addition, it develops guidelines, methodologies and best practices related to standards to help cities, communities, and rural areas deliver services using relevant emerging technologies, also known as smart sustainable cities and communities (SSC&C).
While traditional information databases and analytics architectures and infrastructures remain essential, it is important to understand technical approaches to how IoT devices, platform and networks collect, process, manage, and present data from various sources. These aspects rely on both the specific capabilities/capacities of these approaches as well as general policy guidance in the data lifecycle.
Another topic of importance includes potential "imperfections" or risks in a given data processing and management (DPM) framework and how they affect the effectiveness of an IoT capability. Implementing feasible DPM guidelines and standards can make the collection, storage and retrieval of large amounts of data fast and cost-effective while addressing data complexities and governance, including dataspaces to overcome some of the problems encountered in data integration systems. There is also an interest in studying how data aspects of IoT services and applications are powered by emerging technologies (e.g., blockchain, artificial intelligence, artificial intelligence of things (AIoT), digital twins, etc.). Artificial intelligence (AI) is playing an increasingly important role in IoT applications and deployments. Harnessing the power of AI with the large amount of IoT data will lead to the full benefits of IoT data. This will lead to a variety of benefits such as proactive intervention, intelligent automation, highly personalized experiences, etc.
At the same time, decision-making in SSC&Cs is, by design, data-driven. Although traditional information databases and analytics architectures and infrastructures remain essential, it is useful to understand how SSC&C technologies collect, process, manage, and present data from various sources to inform municipal decision-making. These aspects touch on both specific capabilities/capacities of this process as well as general policy guidance. Another topic of importance includes potential "imperfections", or risks, in a given DPM framework, and how they affect municipal decision-making. Implementing feasible DPM guidelines and standards can make the collection, storage and retrieval of large amounts of data fast and cost-effective while addressing data complexities and governance. There is also an interest in understanding how data aspects of SSC&C services and applications are powered by emerging technologies (e.g., blockchain, artificial intelligence, metaverse, digital twins, etc.).
Taking into account the data ecosystem affecting various stakeholders, this Question will develop a set of Recommendations for effective DPM, data analysis and sharing for IoT and SSC&C, and for promoting the adoption of AI-based solutions in IoT and SSC&C.
This Question focuses on DPM, data analytics and sharing including big data aspects of IoT and SSC&C.
2 Question
Study items include, but are not limited to:
- analysis of existing technologies, platforms, guidelines and standards for DPM in line with the mandate of SG20;
- architectural frameworks for the future of data driven ecosystems and their applications with DPM and big data;
- data analytics and data sharing issues with the development of efficient and scalable DPM approaches;
- the role of emerging technologies (e.g., blockchain, AI, AIoT and digital twins, etc.) to support DPM, data analytics and sharing;
- governance, security and privacy concerns within DPM, data analytics and sharing frameworks;
- trusted data and data quality in DPM, data analytics and sharing frameworks including digital identification and certification;
- collaboration with standards development organizations (SDOs) to maximize synergies and harmonize existing standards related to this field work.
3 Tasks
Tasks include, but are not limited to:
- Developing Recommendations, supplements, reports, guidelines, etc., as appropriate, for DPM, data analytics and sharing of IoT and SC&C, covering:
" methodology for DPM concept building based on use cases, and the analysis of requirements;
" data value chain, data lifecycle, capabilities and functional architectures to support DPM including big data aspects of IoT and SSC&C;
" data analytics and data sharing to support data-driven intelligent services and applications of IoT and SSC&C;
" tools, mechanisms and standardized interfaces for data analytics and data sharing;
" DPM, data analytics and sharing with support of emerging technologies (e.g., blockchain, artificial intelligence, AIoT and digital twins, etc.) of IoT and SSC&C;
" governance, security, privacy protection and risk management of IoT and SSC&C;
" trusted data and data quality management of IoT and SSC&C.
- Providing the necessary analysis of and collaboration for joint activities in this field within ITU and between ITU-T and other relevant SDOs, consortia and forums.
An up-to-date status of work under this Question is contained in the SG20 work programme (https://www.itu.int/ITU-T/workprog/wp_search.aspx?sp=18&q=4/20).
4 Relationships
Recommendations:
- Y.4000-series on IoT and smart cities & communities
- Y.4000-series on data processing and management (including ITU-T FG-DPM deliverables)
Questions:
- All ITU-T SG20 Questions
Study groups:
- ITU-T (e.g., considering their lead study group role), ITU-D and ITU-R study groups, as appropriate
- ITU-T SG13 on big data relevant aspects
Other bodies:
- 3GPP
- 5G Alliances (e.g., 5G AA, 5G ACIA, etc.)
- Alliance for IoT and Edge Computing Innovation (AIOTI)
- BDVA
- BSI
- ETSI
- GSMA
- IEEE
- IETF
- International Data Spaces Association (IDSA)
- ISO/IEC JTC 1
- Joint IEC-ISO-ITU Smart Cities Task Force
- Open & Agile Smart Cities (OASC)
- OCF
- OMA
- oneM2M
- OSG
- W3C
WSIS Action Lines:
- C2, C3, C5, C6, C7, C8, C10, C11
Sustainable Development Goals:
- 9, 10, 11
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| Comment:
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Continuation of Q4/20
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Rapporteur:
| Mr. | Gyu Myoung | Lee |
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Associate rapporteur:
| Ms. | Zheng | Huang |
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Associate rapporteur:
| Mr. | Sunghan | Kim |
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Associate rapporteur:
| Mr. | Svetoslav | Mihaylov |
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