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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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”. |
format | Online Article Text |
id | pubmed-7068057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sharifiayyoob aglobaldatasetontoolsframeworksandindicatorsetsforsmartcityassessment AT sharifiayyoob globaldatasetontoolsframeworksandindicatorsetsforsmartcityassessment |