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

Jose L. Hernández; Ana Quijano; Rubén García; Pierre Nouaille; Lukas Risch; Mikko Virtanen; Ignacio  de Miguel

doi:10.5220/0000163700003269

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

Jose L. Hernández, Ana Quijano, Rubén García, Pierre Nouaille, Lukas Risch, Mikko Virtanen, Ignacio de Miguel

BA4201 Urban energy systems

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
Publisher	SCITEPRESS Digital Library
Pages	353-360
ISBN (Electronic)	978-989-758-583-8
DOIs	https://doi.org/10.5220/0000163700003269
Publication status	Published - 2022
MoE publication type	A4 Article in a conference publication
Event	11th International Conference on Data Science, Technology and Applications, DATA 2022 - Lisbon, Portugal Duration: 11 Jul 2022 → 13 Jul 2022

Conference

Conference	11th International Conference on Data Science, Technology and Applications, DATA 2022
Country/Territory	Portugal
City	Lisbon
Period	11/07/22 → 13/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5220/0000163700003269Licence: CC BY-ND

MysmartLife: Smart Transition of EU cities towards a new concept of smart Life and Economy
Virtanen, M. (Manager), Astero, P. (Participant), Nykänen, E. (Participant), Rämä, M. (Participant), Pursiheimo, E. (Participant), Huovila, A. (Participant), Piira, K. (Participant), Tuomaala, P. (Participant), Paakkinen, M. (Participant) & Hukkalainen, M. (Participant)
1/12/16 → 30/11/21
Project: EU project

Cite this

Hernández, J. L., Quijano, A., García, R., Nouaille, P., Risch, L., Virtanen, M., & 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 (pp. 353-360). SCITEPRESS Digital Library. https://doi.org/10.5220/0000163700003269

@inproceedings{b087a5c8df5c41af82870943b62ffb94,

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

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.",

author = "Hern{\'a}ndez, {Jose L.} and Ana Quijano and Rub{\'e}n Garc{\'i}a and Pierre Nouaille and Lukas Risch and Mikko Virtanen and {de Miguel}, Ignacio",

note = "Authors would like to thank the mySMARTLife consortium and rest of partners involved in the project for the support. Also, the authors would like to thank the European Commission for funding the project under GA #731297 of the H2020 programme. ; 11th International Conference on Data Science, Technology and Applications, DATA 2022 ; Conference date: 11-07-2022 Through 13-07-2022",

year = "2022",

doi = "10.5220/0000163700003269",

language = "English",

pages = "353--360",

booktitle = "Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA",

publisher = "SCITEPRESS Digital Library",

address = "Portugal",

}

Hernández, JL, Quijano, A, García, R, Nouaille, P, Risch, L, Virtanen, M & 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. SCITEPRESS Digital Library, pp. 353-360, 11th International Conference on Data Science, Technology and Applications, DATA 2022, Lisbon, Portugal, 11/07/22. https://doi.org/10.5220/0000163700003269

Analysis of Data Quality in Digital Smart Cities: The Cases of Nantes, Hamburg and Helsinki. / Hernández, Jose L.; Quijano, Ana; García, Rubén et al.
Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA. SCITEPRESS Digital Library, 2022. p. 353-360.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Analysis of Data Quality in Digital Smart Cities

T2 - 11th International Conference on Data Science, Technology and Applications, DATA 2022

AU - Hernández, Jose L.

AU - Quijano, Ana

AU - García, Rubén

AU - Nouaille, Pierre

AU - Risch, Lukas

AU - Virtanen, Mikko

AU - de Miguel, Ignacio

N1 - Authors would like to thank the mySMARTLife consortium and rest of partners involved in the project for the support. Also, the authors would like to thank the European Commission for funding the project under GA #731297 of the H2020 programme.

PY - 2022

Y1 - 2022

N2 - 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.

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.

U2 - 10.5220/0000163700003269

DO - 10.5220/0000163700003269

M3 - Conference article in proceedings

SP - 353

EP - 360

BT - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA

PB - SCITEPRESS Digital Library

Y2 - 11 July 2022 through 13 July 2022

ER -

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

Abstract

Conference

UN SDGs

Access to Document

Fingerprint

Projects

MysmartLife: Smart Transition of EU cities towards a new concept of smart Life and Economy

Cite this