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A global dataset on tools, frameworks, and indicator sets for smart city assessment

This is a dataset on the typology, content, and structure of 34 selected schemes (i.e., tools, frameworks, indices, indicator sets) for assessing city smartness. The data is collected through content analyses of related documents such as manuals, working papers, and scorecards. The dataset covers as...

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Detalles Bibliográficos
Autor principal: Sharifi, Ayyoob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068057/
https://www.ncbi.nlm.nih.gov/pubmed/32190724
http://dx.doi.org/10.1016/j.dib.2020.105364
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author Sharifi, Ayyoob
author_facet Sharifi, Ayyoob
author_sort Sharifi, Ayyoob
collection PubMed
description This is a dataset on the typology, content, and structure of 34 selected schemes (i.e., tools, frameworks, indices, indicator sets) for assessing city smartness. The data is collected through content analyses of related documents such as manuals, working papers, and scorecards. The dataset covers aspects related to development as well as implementation of assessment schemes. It provides details related to the geographic and thematic scope of each assessment scheme, approaches towards indicator selection, themes that are consistently used across the schemes, indicators used for smart city assessment, methods applied for performing assessment, the state of implementation, and the complete list of cities that have been evaluated and their rankings (if applicable). The dataset is related to the research article titled “A typology of smart city assessment tools and indicator sets”.
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spelling pubmed-70680572020-03-18 A global dataset on tools, frameworks, and indicator sets for smart city assessment Sharifi, Ayyoob Data Brief Social Science This is a dataset on the typology, content, and structure of 34 selected schemes (i.e., tools, frameworks, indices, indicator sets) for assessing city smartness. The data is collected through content analyses of related documents such as manuals, working papers, and scorecards. The dataset covers aspects related to development as well as implementation of assessment schemes. It provides details related to the geographic and thematic scope of each assessment scheme, approaches towards indicator selection, themes that are consistently used across the schemes, indicators used for smart city assessment, methods applied for performing assessment, the state of implementation, and the complete list of cities that have been evaluated and their rankings (if applicable). The dataset is related to the research article titled “A typology of smart city assessment tools and indicator sets”. Elsevier 2020-03-02 /pmc/articles/PMC7068057/ /pubmed/32190724 http://dx.doi.org/10.1016/j.dib.2020.105364 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Social Science
Sharifi, Ayyoob
A global dataset on tools, frameworks, and indicator sets for smart city assessment
title A global dataset on tools, frameworks, and indicator sets for smart city assessment
title_full A global dataset on tools, frameworks, and indicator sets for smart city assessment
title_fullStr A global dataset on tools, frameworks, and indicator sets for smart city assessment
title_full_unstemmed A global dataset on tools, frameworks, and indicator sets for smart city assessment
title_short A global dataset on tools, frameworks, and indicator sets for smart city assessment
title_sort global dataset on tools, frameworks, and indicator sets for smart city assessment
topic Social Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068057/
https://www.ncbi.nlm.nih.gov/pubmed/32190724
http://dx.doi.org/10.1016/j.dib.2020.105364
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