Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/61206
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSpalević, Žaklina-
dc.contributor.authorVeljković, Nataša-
dc.contributor.authorMilić, Petar-
dc.date.accessioned2023-01-16T10:49:58Z-
dc.date.available2023-01-16T10:49:58Z-
dc.date.issued2023-01-
dc.identifier.issn0022-4456 (Print); 0975-1084 (Online)-
dc.identifier.urihttp://nopr.niscpr.res.in/handle/123456789/61206-
dc.description38-49en_US
dc.description.abstractIn last few years, many open government data portals have been emerging in the world. These portals publish open government datasets which can be accessed and used by everyone for their own needs. In this paper, we propose methodology named QODA (Quality of Open government DAtasets) for assessment of quality of published datasets via two aspects. First one is assessment of quality of pure open government datasets, and second is assessment of quality features on the platforms which contributes to the publication of quality datasets. It provides a step-by-step dataset analysis guidance and summarization of results. Research presented in this paper shows that open government dataset quality depends on data provider as well as proper definition of metadata behind datasets. Our findings result in recommendations to open government data (OGD) publishers, to constantly supervise the use of published datasets, with aim to have timely and punctual information on OGD portals, with special attention on quality features.en_US
dc.language.isoenen_US
dc.publisherNIScPR-CSIR, Indiaen_US
dc.sourceJSIR Vol.82(01) [January 2023]en_US
dc.subjectAssessmenten_US
dc.subjectLegislationen_US
dc.subjectMethodologyen_US
dc.subjectOpen government dataen_US
dc.subjectQualityen_US
dc.titleQODA – Methodology and Legislative Background for Assessment of Open Government Datasets Qualityen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.56042/jsir.v82i1.69940en_US
Appears in Collections:JSIR Vol.82(01) [January 2023]

Files in This Item:
File Description SizeFormat 
JSIR 82(01) 38-49.pdf1.39 MBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.