dc.contributor.author | Durrant, Hannah | de |
dc.contributor.author | Barnett, Julie | de |
dc.contributor.author | Rempel, Emily Suzanne | de |
dc.date.accessioned | 2022-05-24T08:33:06Z | |
dc.date.available | 2022-05-24T08:33:06Z | |
dc.date.issued | 2018 | de |
dc.identifier.issn | 2183-2463 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/79385 | |
dc.description.abstract | This article presents findings from local government projects to realise the benefits of big data for policy. Through participatory action research with two local statutory authorities in the South West of England, we observed the activities of identifying, integrating and analysing multiple and diverse forms of data, including large administrative datasets, to generate insights on live policy priorities and inform decision-making. We reveal the significance of both data production and policymaking contexts in explaining how big data of this kind can be called upon and enacted in policy processes. | de |
dc.language | en | de |
dc.subject.ddc | Politikwissenschaft | de |
dc.subject.ddc | Political science | en |
dc.subject.other | big data; integrated data; local government; policymaking | de |
dc.title | Realising the Benefits of Integrated Data for Local Policymaking: Rhetoric versus Reality | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.identifier.url | https://www.cogitatiopress.com/politicsandgovernance/article/view/1586 | de |
dc.source.journal | Politics and Governance | |
dc.source.volume | 6 | de |
dc.publisher.country | PRT | de |
dc.source.issue | 4 | de |
dc.subject.classoz | politische Willensbildung, politische Soziologie, politische Kultur | de |
dc.subject.classoz | Political Process, Elections, Political Sociology, Political Culture | en |
dc.subject.thesoz | Kommunalpolitik | de |
dc.subject.thesoz | local politics | en |
dc.subject.thesoz | Daten | de |
dc.subject.thesoz | data | en |
dc.subject.thesoz | Datenverarbeitung | de |
dc.subject.thesoz | data processing | en |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | data capture | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10044911 | |
internal.identifier.thesoz | 10034708 | |
internal.identifier.thesoz | 10040567 | |
internal.identifier.thesoz | 10040547 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 18-28 | de |
internal.identifier.classoz | 10504 | |
internal.identifier.journal | 787 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 320 | |
dc.source.issuetopic | Big Data Applications in Governance and Policy | de |
dc.identifier.doi | https://doi.org/10.17645/pag.v6i4.1586 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.dda.reference | https://www.cogitatiopress.com/politicsandgovernance/oai/@@oai:ojs.cogitatiopress.com:article/1586 | |
ssoar.urn.registration | false | de |