RT info:eu-repo/semantics/conferenceObject
T1 Analysis of Data Quality in Digital Smart Cities: The Cases of Nantes, Hamburg and Helsinki
A1 Hernández, José L.
A1 Quijano, Ana
A1 García, Rubén
A1 Nouaille, Pierre
A1 Risch, Lukas
A1 Virtanen, Mikko
A1 Miguel Jiménez, Ignacio de
K1 Information Quality
K1 Smart Cities and Urban Data Analytics
AB The Smart Cities concept is supported by the use of Information and Communication Technologies (ICT), which enables the digitalisation of the city assets. Then, cities are nowadays driven by data, with a clear dependency on the data collection approaches. Decisions and criteria for urban transformation therefore rely on data and Key Performance Indicators. However, one question remains and refers the reliability and credibility of data that guide the decision-making processes. Many efforts are made in the definition of the data quality methodologies, but not in analysing the real situation about data collection is smart cities. This paper applies a methodology to quantitatively analyse the real quality of the data-sets in the cities of Nantes, Hamburg and Helsinki. This work is under the umbrella of mySMARTLife project (GA #731297). The main conclusion or lessons learnt is the need for more appropriate methods to increase data quality, instead of defining new methodologies. Data qual ity requires improvements to make better informed decisions and obtain more credible Key Performance Indicators.
PB SciTePress
SN 978-989-758-583-8
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/62373
UL https://uvadoc.uva.es/handle/10324/62373
LA eng
NO Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA, Lisbon, Portugal, 2022, SciTePress, pp. 353-360
NO Producción Científica
DS UVaDOC
RD 18-nov-2024