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                <identifier>oai:data.mendeley.com/pj4gzrxpjx.1</identifier>
                <datestamp>2026-07-13T04:10:55Z</datestamp>
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    <dc:creator>Prasandy, Teguh </dc:creator>
    <dc:title>Systematic Literature Review Dataset on Data-Driven Digital Transformation and Governance in Capture Fisheries</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset supports a systematic literature review of data-driven digital transformation and data governance in capture fisheries. It contains title-and-abstract screening decisions, quality assessment results, final eligibility validation, a final corpus of 26 peer-reviewed articles, a data extraction matrix, thematic synthesis, analytical categories, and a codebook. The dataset documents the evidence used to identify data-driven digital capabilities, governance mechanisms, and decision, governance/policy, and sustainability-oriented outcomes. One article was excluded after final eligibility validation because the verified full-paper publication year was 2019. Copyrighted full-text articles are not included.</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Information System</dc:subject>
    <dc:subject>Ocean Governance</dc:subject>
    <dc:subject>Population Dynamics of Fisheries</dc:subject>
    <dc:contributor>Hidayanto, Achmad Nizar </dc:contributor>
    <dc:contributor>Shihab, Rifki </dc:contributor>
    <dc:contributor>Taufani, Wiwiet Teguh </dc:contributor>
    <dc:contributor>Wijayanti, Nanda Ayu </dc:contributor>
    <dc:contributor>Yaiprasert, Chairote </dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/pj4gzrxpjx.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/pj4gzrxpjx.1</dc:identifier>
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    <dc:date>2026-07-13T04:10:55Z</dc:date>
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