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ZAKLOVÁ, K. HYNEK, J. HRUŠKA, T.
Originální název
Towards Transparent Governance: Unifying City Councils Decision-Making Data Processing and Visualization
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
The local open government data holds undiscovered potential for wider application. Municipal policies and representatives' decisions have a direct impact on citizens' daily lives and the public should be aware of them. Nevertheless, the data related to city council activities may not always be easily searchable, and if available, the varying formats complicate further extraction and processing. This paper contributes to the academic discourse by proposing a unified approach to processing and storing the data from the council's decision-making. The paper outlines a generic data model designed for broad application across municipalities. A data set within this model can be automatically processed and stored in the database. The solution presents an information system with an user-friendly interface that visualize the data in the form of dashboards, enhancing accessibility for the general public. This paper contains practical example of how the data model can be applied to real votes of the council in the City of Brno, which is the second largest city in the Czech Republic.
Klíčová slova
City Council, Decision-making, Local Politics, Open Government Data, Data Visualization
Autoři
ZAKLOVÁ, K.; HYNEK, J.; HRUŠKA, T.
Vydáno
13. 5. 2024
Nakladatel
Springer Nature Switzerland AG
Místo
Cham
ISBN
978-3-031-60220-7
Kniha
Lecture Notes in Networks and Systems
Edice
ISSN
2367-3370
Periodikum
Ročník
2024
Číslo
987
Stát
Polská republika
Strany od
402
Strany do
411
Strany počet
10
URL
https://www.fit.vut.cz/research/publication/13126/
BibTex
@inproceedings{BUT188363, author="Kristýna {Zaklová} and Jiří {Hynek} and Tomáš {Hruška}", title="Towards Transparent Governance: Unifying City Councils Decision-Making Data Processing and Visualization", booktitle="Lecture Notes in Networks and Systems", year="2024", series="Lecture Notes in Networks and Systems", journal="Lecture Notes in Networks and Systems", volume="2024", number="987", pages="402--411", publisher="Springer Nature Switzerland AG", address="Cham", doi="10.1007/978-3-031-60221-4\{_}38", isbn="978-3-031-60220-7", issn="2367-3370", url="https://www.fit.vut.cz/research/publication/13126/" }