<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<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">JDS223EDI</article-id>
<article-id pub-id-type="doi">10.6339/24-JDS223EDI</article-id>
<article-categories><subj-group subj-group-type="heading">
<subject>Editorial</subject></subj-group></article-categories>
<title-group>
<article-title>Introduction to the GASP Special Issue<xref ref-type="fn" rid="j_jds223edi_fn_001"><sup>✩</sup></xref></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Frehill</surname><given-names>Lisa M.</given-names></name><email xlink:href="mailto:lisa.frehill@hq.doe.gov">lisa.frehill@hq.doe.gov</email><xref ref-type="aff" rid="j_jds223edi_aff_001">1</xref><xref ref-type="corresp" rid="cor2">∗</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Meyer</surname><given-names>Peter B.</given-names></name><xref ref-type="aff" rid="j_jds223edi_aff_002">2</xref>
</contrib>
<aff id="j_jds223edi_aff_001"><label>1</label>Social Science Research Specialist, <institution>U.S. Department of Energy</institution>, <country>USA</country></aff>
<aff id="j_jds223edi_aff_002"><label>2</label>Research Economist, <institution>U.S. Bureau of Labor Statistics</institution>, <country>USA</country></aff>
</contrib-group>
<author-notes>
<fn id="j_jds223edi_fn_001"><label>✩</label>
<p>This paper represents the views of the authors and does not necessarily reflect those of the United States Government or any agency thereof.</p></fn><corresp id="cor2"><label>∗</label>Corresponding author. Email: <ext-link ext-link-type="uri" xlink:href="mailto:lisa.frehill@hq.doe.gov">lisa.frehill@hq.doe.gov</ext-link>.</corresp>
</author-notes>
<pub-date pub-type="ppub"><year>2024</year></pub-date><pub-date pub-type="epub"><day>26</day><month>8</month><year>2024</year></pub-date><volume>22</volume><issue>3</issue><fpage>353</fpage><lpage>355</lpage>
<permissions><copyright-statement>2024 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.</copyright-statement><copyright-year>2024</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>
</article-meta>
</front>
<back>
<ref-list id="j_jds223edi_reflist_001">
<title>References</title>
<ref id="j_jds223edi_ref_001">
<mixed-citation publication-type="journal"> <string-name><surname>Chen</surname> <given-names>S</given-names></string-name>, <string-name><surname>Xu</surname> <given-names>C</given-names></string-name> (<year>2024</year>). <article-title>Predictive mean matching imputation procedure based on machine learning models for complex survey data</article-title>. <source><italic>Journal of Data Science</italic></source>, <volume>22</volume>(<issue>3</issue>): <fpage>456</fpage>–<lpage>468</lpage>. <ext-link ext-link-type="doi" xlink:href="https://doi.org/10.6339/24-JDS1135" xlink:type="simple">https://doi.org/10.6339/24-JDS1135</ext-link></mixed-citation>
</ref>
<ref id="j_jds223edi_ref_002">
<mixed-citation publication-type="journal"> <string-name><surname>Emmet</surname> <given-names>RL</given-names></string-name>, <string-name><surname>Hunt</surname> <given-names>K</given-names></string-name>, <string-name><surname>Jennings</surname> <given-names>R</given-names></string-name>, <string-name><surname>Daniel</surname> <given-names>K</given-names></string-name>, <string-name><surname>Abreu</surname> <given-names>DA</given-names></string-name> (<year>2024</year>). <article-title>Evaluating a method for georeferencing agricultural fields</article-title>. <source><italic>Journal of Data Science</italic></source>, <volume>22</volume>(<issue>3</issue>): <fpage>423</fpage>–<lpage>435</lpage>. <ext-link ext-link-type="doi" xlink:href="https://doi.org/10.6339/24-JDS1146" xlink:type="simple">https://doi.org/10.6339/24-JDS1146</ext-link></mixed-citation>
</ref>
<ref id="j_jds223edi_ref_003">
<mixed-citation publication-type="journal"> <string-name><surname>Hadley</surname> <given-names>E</given-names></string-name>, <string-name><surname>Marcial</surname> <given-names>L</given-names></string-name>, <string-name><surname>Quattrone</surname> <given-names>W</given-names></string-name>, <string-name><surname>Bobashev</surname> <given-names>G</given-names></string-name> (<year>2024</year>). <article-title>Traditional and GenAI text analysis of COVID-19 pandemic trends in hospital community benefits IRS documentation</article-title>. <source><italic>Journal of Data Science</italic></source>, <volume>22</volume>(<issue>3</issue>): <fpage>393</fpage>–<lpage>408</lpage>. <ext-link ext-link-type="doi" xlink:href="https://doi.org/10.6339/24-JDS1144" xlink:type="simple">https://doi.org/10.6339/24-JDS1144</ext-link></mixed-citation>
</ref>
<ref id="j_jds223edi_ref_004">
<mixed-citation publication-type="journal"> <string-name><surname>Knappenberger</surname> <given-names>C</given-names></string-name> (<year>2024</year>). <article-title>Bringing search to the economic census – the NAPCS classification tool</article-title>. <source><italic>Journal of Data Science</italic></source>, <volume>22</volume>(<issue>3</issue>): <fpage>409</fpage>–<lpage>422</lpage>. <ext-link ext-link-type="doi" xlink:href="https://doi.org/10.6339/24-JDS1147" xlink:type="simple">https://doi.org/10.6339/24-JDS1147</ext-link></mixed-citation>
</ref>
<ref id="j_jds223edi_ref_005">
<mixed-citation publication-type="journal"> <string-name><surname>Preiss</surname> <given-names>AJ</given-names></string-name>, <string-name><surname>Arbeit</surname> <given-names>CA</given-names></string-name>, <string-name><surname>Berghammer</surname> <given-names>A</given-names></string-name>, <string-name><surname>Bollenbacher</surname> <given-names>J</given-names></string-name>, <string-name><surname>McCarthy</surname> <given-names>JV</given-names></string-name>, <string-name><surname>Brom</surname> <given-names>MG</given-names></string-name>, <etal>et al.</etal> (<year>2024</year>). <article-title>Evaluation of text cluster naming with generative large language models</article-title>. <source><italic>Journal of Data Science</italic></source>, <volume>22</volume>(<issue>3</issue>): <fpage>376</fpage>–<lpage>392</lpage>. <ext-link ext-link-type="doi" xlink:href="https://doi.org/10.6339/24-JDS1149" xlink:type="simple">https://doi.org/10.6339/24-JDS1149</ext-link></mixed-citation>
</ref>
<ref id="j_jds223edi_ref_006">
<mixed-citation publication-type="journal"> <string-name><surname>Sartore</surname> <given-names>L</given-names></string-name>, <string-name><surname>Chen</surname> <given-names>L</given-names></string-name>, <string-name><surname>van Wart</surname> <given-names>J</given-names></string-name>, <string-name><surname>Dau</surname> <given-names>A</given-names></string-name>, <string-name><surname>Bejleri</surname> <given-names>V</given-names></string-name> (<year>2024</year>). <article-title>Identifying anomalous data entries in repeated surveys</article-title>. <source><italic>Journal of Data Science</italic></source>, <volume>22</volume>(<issue>3</issue>): <fpage>436</fpage>–<lpage>455</lpage>. <ext-link ext-link-type="doi" xlink:href="https://doi.org/10.6339/24-JDS1136" xlink:type="simple">https://doi.org/10.6339/24-JDS1136</ext-link></mixed-citation>
</ref>
<ref id="j_jds223edi_ref_007">
<mixed-citation publication-type="journal"> <string-name><surname>Shrivastava</surname> <given-names>R</given-names></string-name>, <string-name><surname>Korkmaz</surname> <given-names>G</given-names></string-name> (<year>2024</year>). <article-title>Measuring public open-source software in the federal government: An analysis of Code.gov</article-title>. <source><italic>Journal of Data Science</italic></source>, <volume>22</volume>(<issue>3</issue>): <fpage>356</fpage>–<lpage>375</lpage>. <ext-link ext-link-type="doi" xlink:href="https://doi.org/10.6339/24-JDS1148" xlink:type="simple">https://doi.org/10.6339/24-JDS1148</ext-link></mixed-citation>
</ref>
</ref-list>
</back>
</article>
