Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age 2018
DOI: 10.1145/3209281.3209377
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How cities categorize datasets in their open data portals

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Cited by 12 publications
(6 citation statements)
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“…Usually, the categories with which to describe the activities of a community refer to a few major themes such as transportation, economics, government, education and public safety. Notwithstanding, noticeable variations emerge in the way OGD portals select the number and terminology of the categories with which to group their data sets [60]. Zencey [59] analysing the popularity of the topics among the data sets published by 141 US public bodies noted that ‘popular data sets varied significantly based on location’ 30 and that this variation may ‘expresses local preferences and needs’.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Usually, the categories with which to describe the activities of a community refer to a few major themes such as transportation, economics, government, education and public safety. Notwithstanding, noticeable variations emerge in the way OGD portals select the number and terminology of the categories with which to group their data sets [60]. Zencey [59] analysing the popularity of the topics among the data sets published by 141 US public bodies noted that ‘popular data sets varied significantly based on location’ 30 and that this variation may ‘expresses local preferences and needs’.…”
Section: Discussionmentioning
confidence: 99%
“…Our choice to focus on the US city portals, besides the fact that many of these city governments were among the first to adhere to Open Data practices [58], under the government’s impetus by President Obama, is due to the interest showed towards these portals in the literature. In fact, in recent years, following the considerable efforts made by US cities to publish Open Data and encourage citizens to use them [43,46], several scholars have investigated their characteristics [8,59,60] and analysed their performance [43,44,46]. For example, Zhu et al [43], in a study on 34 US cities, found that the city population is positively related both to the number of its portal’s data sets as well to an overall score based on a set of portal-level metrics they defined and manually tested.…”
Section: Methodsmentioning
confidence: 99%
“…Based on the result of the semantic interpretation of the user's question, we retrieve the title and description of the datasets. In work [21], the authors also take a similar approach, implementing a semantic analysis based on open government data, but the analysis is performed to minimize misunderstandings with the the semantics of the dataset categories used.…”
Section: Fig 2: Methodology Illustrationmentioning
confidence: 99%
“…For instance, Gill [16] focused on how the potential benefits of open data are conceived differently by municipality representatives depending on the municipality size in Western Canada; Gill and Corbett [17] focused on testing the connection between the efficacy of open data portals and the population size of municipalities in Canada; Gill, Corbett, and Sieber [21] examined how the size of municipalities influences how open data is developing at municipalities of different sizes in Western Canada. In addition, Thorsby et al [22] looked at the impact of the population size of American cities and their level of resources on the number of datasets made available, and, Pinto et al [23] categorized the datasets of open data portals of large American cities.…”
Section: Introductionmentioning
confidence: 99%