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Authors: José L. Hernández 1 ; Ana Quijano 1 ; Rubén García 1 ; Pierre Nouaille 2 ; Lukas Risch 3 ; Mikko Virtanen 4 and Ignacio de Miguel 5

Affiliations: 1 Energy Division, CARTIF Technology Centre, Parque Tecnológico Boecillo 205, Boecillo, Spain ; 2 Direction Territoriale Ouest, CEREMA, Rue René Viviani, Nantes, France ; 3 Senate Chancellary – Department of European Affairs, Free and Hanseatic City of Hamburg, Hamburg, Germany ; 4 VTT Technical Research Centre of Finland Ltd Espoo, P.O. Box 1000, Finland ; 5 Optical Communications Group, University of Valladolid, Valladolid, Spain

Keyword(s): Data Quality, Digitalisation, Smart Cities, Data, Completeness, Correctness.

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 qual ity requires improvements to make better informed decisions and obtain more credible Key Performance Indicators. (More)

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Paper citation in several formats:
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 - DATA; ISBN 978-989-758-583-8; ISSN 2184-285X, SciTePress, pages 353-360. DOI: 10.5220/0011271900003269

@conference{data22,
author={José L. 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 - DATA},
year={2022},
pages={353-360},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011271900003269},
isbn={978-989-758-583-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
TI - Analysis of Data Quality in Digital Smart Cities: The Cases of Nantes, Hamburg and Helsinki
SN - 978-989-758-583-8
IS - 2184-285X
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
PB - SciTePress