Analysis of Data Quality in Digital Smart Cities: The Cases of Nantes, Hamburg and Helsinki

José Hernández, Ana Quijano, Rubén García, Pierre Nouaille, Lukas Risch, Mikko Virtanen, Ignacio de Miguel

2022

Abstract

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 quality requires improvements to make better informed decisions and obtain more credible Key Performance Indicators.

Paper Citation

in Harvard Style

Hernández J., Quijano A., García R., Nouaille P., Risch L., Virtanen M. and de Miguel I. (2022). Analysis of Data Quality in Digital Smart Cities: The Cases of Nantes, Hamburg and Helsinki. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 353-360. DOI: 10.5220/0011271900003269

in Bibtex Style

@conference{data22,
author={José Hernández and Ana Quijano and Rubén García and Pierre Nouaille and Lukas Risch and Mikko Virtanen and Ignacio de Miguel},
title={Analysis of Data Quality in Digital Smart Cities: The Cases of Nantes, Hamburg and Helsinki},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={353-360},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011271900003269},
isbn={978-989-758-583-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Analysis of Data Quality in Digital Smart Cities: The Cases of Nantes, Hamburg and Helsinki
SN - 978-989-758-583-8
AU - Hernández J.
AU - Quijano A.
AU - García R.
AU - Nouaille P.
AU - Risch L.
AU - Virtanen M.
AU - de Miguel I.
PY - 2022
SP - 353
EP - 360
DO - 10.5220/0011271900003269