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<journal-meta>
<journal-id journal-id-type="publisher-id">JDS</journal-id>
<journal-title-group><journal-title>Journal of Data Science</journal-title></journal-title-group>
<issn pub-type="epub">1683-8602</issn><issn pub-type="ppub">1680-743X</issn><issn-l>1680-743X</issn-l>
<publisher>
<publisher-name>School of Statistics, Renmin University of China</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JDS232BRV</article-id>
<article-id pub-id-type="doi">10.6339/25-JDS232BRV</article-id>
<article-categories><subj-group subj-group-type="heading">
<subject>Book Review</subject></subj-group></article-categories>
<title-group>
<article-title>Book Review: “Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making” by Bin Yu and Rebecca L. Barter</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wu</surname><given-names>Xizhi</given-names></name><email xlink:href="mailto:xizhi.wu@aliyun.com">xizhi.wu@aliyun.com</email><xref ref-type="aff" rid="j_jds232brv_aff_001">1</xref>
</contrib>
<aff id="j_jds232brv_aff_001"><label>1</label>School of Statistics, <institution>Renmin University of China</institution>, Beijing, <country>China</country></aff>
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<author-notes>
<corresp id="cor1"><label>∗</label>Email: <ext-link ext-link-type="uri" xlink:href="mailto:xizhi.wu@aliyun.com">xizhi.wu@aliyun.com</ext-link>.</corresp>
</author-notes>
<pub-date pub-type="ppub"><year>2025</year></pub-date><pub-date pub-type="epub"><day>5</day><month>5</month><year>2025</year></pub-date><volume>23</volume><issue>2</issue><fpage>449</fpage><lpage>450</lpage>
<permissions><copyright-statement>2025 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.</copyright-statement><copyright-year>2025</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Open access article under the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY</ext-link> license.</license-p></license></permissions>
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<ref-list id="j_jds232brv_reflist_001">
<title>References</title>
<ref id="j_jds232brv_ref_001">
<mixed-citation publication-type="journal"> <string-name><surname>Box</surname> <given-names>GEP</given-names></string-name> (<year>1976</year>). <article-title>Science and statistics</article-title>. <source><italic>Journal of the American Statistical Association</italic></source>, <volume>71</volume>(<issue>356</issue>): <fpage>791</fpage>–<lpage>799</lpage>. <ext-link ext-link-type="doi" xlink:href="https://doi.org/10.1080/01621459.1976.10480949" xlink:type="simple">https://doi.org/10.1080/01621459.1976.10480949</ext-link></mixed-citation>
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<ref id="j_jds232brv_ref_002">
<mixed-citation publication-type="other"> <string-name><surname>He</surname> <given-names>X</given-names></string-name>, <string-name><surname>Madigan</surname> <given-names>D</given-names></string-name>, <string-name><surname>Yu</surname> <given-names>B</given-names></string-name>, <string-name><surname>Wellner</surname> <given-names>J</given-names></string-name> (<year>2019</year>). Statistics at a crossroads: Who is for the challenge. <italic>NSF workshop report</italic>, National Science Foundation.</mixed-citation>
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