Patterns in environmental priorities revealed through government open data portals
dc.contributor.author | Lim, Theodore C. | en |
dc.date.accessioned | 2021-12-16T18:13:06Z | en |
dc.date.available | 2021-12-16T18:13:06Z | en |
dc.date.issued | 2021-11-01 | en |
dc.date.updated | 2021-12-16T18:13:04Z | en |
dc.description.abstract | The ways in which environmental priorities are framed are varied and influenced by political forces. One technological advance–the proliferation of government open data portals (ODPs)–has the potential to improve governance through facilitating access to data. Yet it is also known that the data hosted on ODPs may simply reflect the goals and interests of multiple levels of political power. In this article, I use traditional statistical correlation and regression techniques along with newer natural language processing and machine learning algorithms to analyze the corpus of datasets hosted on government ODPs (total: 49,066) to extract patterns that relate scales of governance and political liberalism/conservatism to the priorities and meaning attached to environmental issues. I find that state-level and municipal-level ODPs host different categories of environmental datasets, with municipal-level ODPs generally hosting more datasets pertaining to services and amenities and state-level ODPs hosting more datasets pertaining to resource protection and extraction. Stronger trends were observed for the influences of political conservatism/liberalism among state-level ODPs than for municipal-level ODPs. | en |
dc.description.version | Accepted version | en |
dc.format.extent | 13 page(s) | en |
dc.format.mimetype | application/pdf | en |
dc.identifier | ARTN 101678 (Article number) | en |
dc.identifier.doi | https://doi.org/10.1016/j.tele.2021.101678 | en |
dc.identifier.issn | 0736-5853 | en |
dc.identifier.orcid | Lim, Theodore [0000-0002-7896-4964] | en |
dc.identifier.uri | http://hdl.handle.net/10919/107074 | en |
dc.identifier.volume | 64 | en |
dc.language.iso | en | en |
dc.publisher | Elsevier | en |
dc.relation.uri | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000710676500015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1 | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Technology | en |
dc.subject | Information Science & Library Science | en |
dc.subject | Open data | en |
dc.subject | Open government | en |
dc.subject | Environmental policy | en |
dc.subject | Local and state government | en |
dc.subject | DATA POLICY | en |
dc.subject | ADOPTION | en |
dc.subject | POLITICS | en |
dc.subject | CITIES | en |
dc.subject | TIME | en |
dc.subject | Information Systems | en |
dc.subject | 0806 Information Systems | en |
dc.subject | 0899 Other Information and Computing Sciences | en |
dc.title | Patterns in environmental priorities revealed through government open data portals | en |
dc.title.serial | Telematics and Informatics | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
dc.type.other | Article | en |
dc.type.other | Journal | en |
pubs.organisational-group | /Virginia Tech | en |
pubs.organisational-group | /Virginia Tech/Architecture and Urban Studies | en |
pubs.organisational-group | /Virginia Tech/Architecture and Urban Studies/School of Public and International Affairs | en |
pubs.organisational-group | /Virginia Tech/All T&R Faculty | en |
pubs.organisational-group | /Virginia Tech/Architecture and Urban Studies/CAUS T&R Faculty | en |
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