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Questionnaire dataset: The Greek Smart Cities - Municipalities dataset
The dataset was formulated through field research in the Greek Municipalities. The survey was undertaken with an online questionnaire (available in Greek) and the contact person was the Chief Digital Officer or a person with similar responsibilities. The final sample is 252 out of a total of 325 Mun...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715129/ https://www.ncbi.nlm.nih.gov/pubmed/35028341 http://dx.doi.org/10.1016/j.dib.2021.107716 |
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author | Siokas, Georgios Tsakanikas, Aggelos |
author_facet | Siokas, Georgios Tsakanikas, Aggelos |
author_sort | Siokas, Georgios |
collection | PubMed |
description | The dataset was formulated through field research in the Greek Municipalities. The survey was undertaken with an online questionnaire (available in Greek) and the contact person was the Chief Digital Officer or a person with similar responsibilities. The final sample is 252 out of a total of 325 Municipalities. Each respondent had to answer to 26 questions, including sub-questions, of different types (1) 5-point Likert scale, (2) rating scale, (3) closed type “Yes/no”, (4) open-ended and (5) dropdown, and, depending on them, there are 3 types of variables (1) ordinal, (2) nominal, and (3) scale variables. The concepts included in the questionnaire are a) the level of integration and use of digital technologies, b) the difficulties and the challenges municipality authorities face when trying to implement a smart strategy and c) the level of diverse collaborations and partnerships which are necessary in order to develop a strategy. The data can be used to analyse the strategic capabilities of the Greek Municipalities under the three concepts evaluated in the questionnaire. The data's primary beneficiaries include researchers, public authorities, digital platforms entrepreneurs, smart city specialists and smart city entrepreneurs, as they can use the dataset to develop models against already known results, to identify factors important in an urban strategy and to further study the correlations between the different factors, design and draft an urban strategy on real data. |
format | Online Article Text |
id | pubmed-8715129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87151292022-01-12 Questionnaire dataset: The Greek Smart Cities - Municipalities dataset Siokas, Georgios Tsakanikas, Aggelos Data Brief Data Article The dataset was formulated through field research in the Greek Municipalities. The survey was undertaken with an online questionnaire (available in Greek) and the contact person was the Chief Digital Officer or a person with similar responsibilities. The final sample is 252 out of a total of 325 Municipalities. Each respondent had to answer to 26 questions, including sub-questions, of different types (1) 5-point Likert scale, (2) rating scale, (3) closed type “Yes/no”, (4) open-ended and (5) dropdown, and, depending on them, there are 3 types of variables (1) ordinal, (2) nominal, and (3) scale variables. The concepts included in the questionnaire are a) the level of integration and use of digital technologies, b) the difficulties and the challenges municipality authorities face when trying to implement a smart strategy and c) the level of diverse collaborations and partnerships which are necessary in order to develop a strategy. The data can be used to analyse the strategic capabilities of the Greek Municipalities under the three concepts evaluated in the questionnaire. The data's primary beneficiaries include researchers, public authorities, digital platforms entrepreneurs, smart city specialists and smart city entrepreneurs, as they can use the dataset to develop models against already known results, to identify factors important in an urban strategy and to further study the correlations between the different factors, design and draft an urban strategy on real data. Elsevier 2021-12-16 /pmc/articles/PMC8715129/ /pubmed/35028341 http://dx.doi.org/10.1016/j.dib.2021.107716 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Siokas, Georgios Tsakanikas, Aggelos Questionnaire dataset: The Greek Smart Cities - Municipalities dataset |
title | Questionnaire dataset: The Greek Smart Cities - Municipalities dataset |
title_full | Questionnaire dataset: The Greek Smart Cities - Municipalities dataset |
title_fullStr | Questionnaire dataset: The Greek Smart Cities - Municipalities dataset |
title_full_unstemmed | Questionnaire dataset: The Greek Smart Cities - Municipalities dataset |
title_short | Questionnaire dataset: The Greek Smart Cities - Municipalities dataset |
title_sort | questionnaire dataset: the greek smart cities - municipalities dataset |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715129/ https://www.ncbi.nlm.nih.gov/pubmed/35028341 http://dx.doi.org/10.1016/j.dib.2021.107716 |
work_keys_str_mv | AT siokasgeorgios questionnairedatasetthegreeksmartcitiesmunicipalitiesdataset AT tsakanikasaggelos questionnairedatasetthegreeksmartcitiesmunicipalitiesdataset |