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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:2:9434</identifier>
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                    <dim:field mdschema="dc" element="title" lang="en">QODA-Methodology and Legislative Background for Assessment of Open Government Datasets Quality</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2023</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/9434</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://op.niscair.res.in/index.php/JSIR/article/view/69940</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0001-8502-2038" confidence="-1">Ž. Spalević</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::https://orcid.org/0" confidence="-1">Н. Вељковић</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::https://orcid.org/0" confidence="-1">П. Милић</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">In 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</dim:field>
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                    <dim:field mdschema="dc" element="identifier" qualifier="doi">10.56042/jsir.v82i1.69940</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="volume">82</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="issue">1</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="spage">38</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="epage">49</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="issn">0022-4456</dim:field>
                    <dim:field mdschema="dc" element="source">JOURNAL OF SCIENTIFIC &amp;amp; INDUSTRIAL RESEARCH</dim:field>
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