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Empowering Citizens through Structured Data: Enhancing Public Service information Delivery in Disaster Response

  • Naho Kitano
  • , Jiro Kokuryo
  • , Noboru Koshizuka
  • , Hideyuki Yasui
  • , Kazuhiko Kitayama

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

As governments increasingly rely on digital data to enhance public services, it is crucial to rethink how this data is utilized to better meet the needs of citizens. This paper emphasizes the transformative potential of structured data semantics in improving service delivery at both local and national levels. Focusing on the case of Noto Peninsula, Japan, which was affected by a recent earthquake, we explore how the implementation of the Universal Menu facilitated efficient access to vital services for affected residents. By examining this case, the paper underscores the need for a standardized approach to data organization that allows municipalities to tailor services effectively to the unique needs of their communities. Drawing on examples from other countries, we argue that embracing structured data semantics not only enhances the responsiveness of government services but also empowers citizens to easily identify and access the support they require. The conclusion reinforces the necessity of this paradigm shift for fostering resilient and citizen-centric governance in an increasingly digital world.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Big Data, BigData 2024
EditorsWei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6850-6856
Number of pages7
ISBN (Electronic)9798350362480
DOIs
Publication statusPublished - 2024
Event2024 IEEE International Conference on Big Data, BigData 2024 - Washington, United States
Duration: 2024 Dec 15 → 2024 Dec 18

Publication series

NameProceedings - 2024 IEEE International Conference on Big Data, BigData 2024
ISSN (Print)2639-1589
ISSN (Electronic)2573-2978

Conference

Conference2024 IEEE International Conference on Big Data, BigData 2024
Country/TerritoryUnited States
CityWashington
Period24/12/15 → 24/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Digital Government
  • Disaster Response
  • Standard Public Service Catalog
  • Structured data
  • Universal Menu

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Modelling and Simulation

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