Publication detail

Towards Transparent Governance: Unifying City Councils Decision-Making Data Processing and Visualization

ZAKLOVÁ, K. HYNEK, J. HRUŠKA, T.

Original Title

Towards Transparent Governance: Unifying City Councils Decision-Making Data Processing and Visualization

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

City Council, Decision-making, Local Politics, Open Government Data, Data Visualization

Authors

ZAKLOVÁ, K.; HYNEK, J.; HRUŠKA, T.

Released

26. 3. 2024

ISBN

2367-3370

Periodical

Lecture Notes in Networks and Systems

State

Republic of Poland

Pages from

1

Pages to

10

Pages count

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",
  pages="1--10",
  issn="2367-3370",
  url="https://www.fit.vut.cz/research/publication/13126/"
}