How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China
Identifieur interne : 000026 ( Pmc/Checkpoint ); précédent : 000025; suivant : 000027How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China
Auteurs : Ying Huang [République populaire de Chine] ; Yi Zhang [République populaire de Chine, Australie] ; Jan Youtie [États-Unis] ; Alan L. Porter [États-Unis] ; Xuefeng Wang [République populaire de Chine]Source :
- PLoS ONE [ 1932-6203 ] ; 2016.
Abstract
How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area? This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding information technology research, the field grew very rapidly over a short period. We find that the extent of interdisciplinarity is a key aspect in how these funding agencies address the rise of Big Data. Our results show that both agencies have been able to marshal funding to support Big Data research in multiple areas, but the NSF relies to a greater extent on multi-program funding from different fields. We discuss how these interdisciplinary approaches reflect the research hot-spots and innovation pathways in these two countries.
Url:
DOI: 10.1371/journal.pone.0154509
PubMed: 27219466
PubMed Central: 4878788
Affiliations:
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China</title><author><name sortKey="Huang, Ying" sort="Huang, Ying" uniqKey="Huang Y" first="Ying" last="Huang">Ying Huang</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Management and Economics, Beijing Institute of Technology, Beijing, 100081</wicri:regionArea><wicri:noRegion>100081</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Yi" sort="Zhang, Yi" uniqKey="Zhang Y" first="Yi" last="Zhang">Yi Zhang</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Management and Economics, Beijing Institute of Technology, Beijing, 100081</wicri:regionArea><wicri:noRegion>100081</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="aff002"><addr-line>Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW 2007, Australia</addr-line></nlm:aff><country xml:lang="fr">Australie</country><wicri:regionArea>Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW 2007</wicri:regionArea><wicri:noRegion>NSW 2007</wicri:noRegion></affiliation></author><author><name sortKey="Youtie, Jan" sort="Youtie, Jan" uniqKey="Youtie J" first="Jan" last="Youtie">Jan Youtie</name><affiliation wicri:level="1"><nlm:aff id="aff003"><addr-line>Enterprise Innovation Institute, Georgia Institute of Technology, Atlanta, GA, 30332, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Enterprise Innovation Institute, Georgia Institute of Technology, Atlanta, GA, 30332</wicri:regionArea><wicri:noRegion>30332</wicri:noRegion></affiliation></author><author><name sortKey="Porter, Alan L" sort="Porter, Alan L" uniqKey="Porter A" first="Alan L." last="Porter">Alan L. 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Porter</name><affiliation wicri:level="1"><nlm:aff id="aff004"><addr-line>School of Public Policy, Georgia Institute of Technology, Atlanta, GA, 30332, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Public Policy, Georgia Institute of Technology, Atlanta, GA, 30332</wicri:regionArea><wicri:noRegion>30332</wicri:noRegion></affiliation></author><author><name sortKey="Wang, Xuefeng" sort="Wang, Xuefeng" uniqKey="Wang X" first="Xuefeng" last="Wang">Xuefeng Wang</name><affiliation wicri:level="1"><nlm:aff id="aff001"><addr-line>School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Management and Economics, Beijing Institute of Technology, Beijing, 100081</wicri:regionArea><wicri:noRegion>100081</wicri:noRegion></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area? This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding information technology research, the field grew very rapidly over a short period. We find that the extent of interdisciplinarity is a key aspect in how these funding agencies address the rise of Big Data. Our results show that both agencies have been able to marshal funding to support Big Data research in multiple areas, but the NSF relies to a greater extent on multi-program funding from different fields. We discuss how these interdisciplinary approaches reflect the research hot-spots and innovation pathways in these two countries.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Noor, A" uniqKey="Noor A">A Noor</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Porter, Al" uniqKey="Porter A">AL Porter</name></author><author><name sortKey="Roessner, Jd" uniqKey="Roessner J">JD Roessner</name></author><author><name sortKey="Cohen, As" uniqKey="Cohen A">AS Cohen</name></author><author><name sortKey="Perreault, M" uniqKey="Perreault M">M Perreault</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Stirling, A" uniqKey="Stirling A">A Stirling</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Shannon, Ce" uniqKey="Shannon C">CE Shannon</name></author><author><name sortKey="Weaver, W" 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, CA USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27219466</article-id><article-id pub-id-type="pmc">4878788</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0154509</article-id><article-id pub-id-type="publisher-id">PONE-D-15-35194</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Science Policy</subject><subj-group><subject>Research Funding</subject><subj-group><subject>Research Grants</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Computer and Information Sciences</subject></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Computer and Information Sciences</subject><subj-group><subject>Information Technology</subject><subj-group><subject>Data Mining</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Engineering and Technology</subject></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Engineering and Technology</subject><subj-group><subject>Electronics Engineering</subject><subj-group><subject>Computer Engineering</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Computer and Information Sciences</subject><subj-group><subject>Data Management</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Science Policy</subject><subj-group><subject>Research Funding</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>People and Places</subject><subj-group><subject>Population Groupings</subject><subj-group><subject>Professions</subject><subj-group><subject>Engineers</subject></subj-group></subj-group></subj-group></subj-group></article-categories><title-group><article-title>How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China</article-title><alt-title alt-title-type="running-head">How Does Scientific Funding Support Interdisciplinary Research</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Huang</surname><given-names>Ying</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Yi</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="aff" rid="aff002"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Youtie</surname><given-names>Jan</given-names></name><xref ref-type="aff" rid="aff003"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Porter</surname><given-names>Alan L.</given-names></name><xref ref-type="aff" rid="aff004"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Wang</surname><given-names>Xuefeng</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="corresp" rid="cor001">*</xref></contrib></contrib-group><aff id="aff001"><label>1</label><addr-line>School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China</addr-line></aff><aff id="aff002"><label>2</label><addr-line>Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW 2007, Australia</addr-line></aff><aff id="aff003"><label>3</label><addr-line>Enterprise Innovation Institute, Georgia Institute of Technology, Atlanta, GA, 30332, United States of America</addr-line></aff><aff id="aff004"><label>4</label><addr-line>School of Public Policy, Georgia Institute of Technology, Atlanta, GA, 30332, United States of America</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Wilsdon</surname><given-names>James</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>University of Sheffield, UNITED KINGDOM</addr-line></aff><author-notes><fn fn-type="conflict" id="coi001"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con" id="contrib001"><p>Conceived and designed the experiments: YH AP. Performed the experiments: YH YZ. Analyzed the data: YH XW. Contributed reagents/materials/analysis tools: YH YZ JY AP XW. Wrote the paper: YH YZ JY.</p></fn><corresp id="cor001">* E-mail: <email>wxf5122@gmail.com</email></corresp></author-notes><pub-date pub-type="epub"><day>24</day><month>5</month><year>2016</year></pub-date><pub-date pub-type="collection"><year>2016</year></pub-date><volume>11</volume><issue>5</issue><elocation-id>e0154509</elocation-id><history><date date-type="received"><day>11</day><month>8</month><year>2015</year></date><date date-type="accepted"><day>14</day><month>4</month><year>2016</year></date></history><permissions><copyright-statement>© 2016 Huang et al</copyright-statement><copyright-year>2016</copyright-year><copyright-holder>Huang et al</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="pone.0154509.pdf"></self-uri><abstract><p>How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area? This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding information technology research, the field grew very rapidly over a short period. We find that the extent of interdisciplinarity is a key aspect in how these funding agencies address the rise of Big Data. Our results show that both agencies have been able to marshal funding to support Big Data research in multiple areas, but the NSF relies to a greater extent on multi-program funding from different fields. We discuss how these interdisciplinary approaches reflect the research hot-spots and innovation pathways in these two countries.</p></abstract><funding-group><award-group id="award001"><funding-source><institution-wrap><institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/100000088</institution-id><institution>Directorate for Social, Behavioral and Economic Sciences</institution></institution-wrap></funding-source><award-id>1527370</award-id><principal-award-recipient><name><surname>Porter</surname><given-names>Alan L.</given-names></name></principal-award-recipient></award-group><award-group id="award002"><funding-source><institution>Chinese National Programs for High Technology Research and Development</institution></funding-source><award-id>2014AA015105</award-id><principal-award-recipient><name><surname>Wang</surname><given-names>Xuefeng</given-names></name></principal-award-recipient></award-group><award-group id="award003"><funding-source><institution-wrap><institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/501100001809</institution-id><institution>National Natural Science Foundation of China</institution></institution-wrap></funding-source><award-id>71373019</award-id><principal-award-recipient><name><surname>Wang</surname><given-names>Xuefeng</given-names></name></principal-award-recipient></award-group><funding-statement>This research is supported by grants from the US National Science Foundation (award no. 1527370), the National High Technology Research and Development Program of China (grant no. 2014AA015105), the General Program of National Natural Science Foundation of China (grant no. 71373019). Besides, the authors are grateful for the scholarship provided by the China Scholarship Council (CSC Student ID 201406030005). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement></funding-group><counts><fig-count count="8"></fig-count><table-count count="7"></table-count><page-count count="20"></page-count></counts><custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>All relevant data are within the paper and its Supporting Information files.</p></notes></front></pmc><affiliations><list><country><li>Australie</li><li>République populaire de Chine</li><li>États-Unis</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Huang, Ying" sort="Huang, Ying" uniqKey="Huang Y" first="Ying" last="Huang">Ying Huang</name></noRegion><name sortKey="Wang, Xuefeng" sort="Wang, Xuefeng" uniqKey="Wang X" first="Xuefeng" last="Wang">Xuefeng Wang</name><name sortKey="Zhang, Yi" sort="Zhang, Yi" uniqKey="Zhang Y" first="Yi" last="Zhang">Yi Zhang</name></country><country name="Australie"><noRegion><name sortKey="Zhang, Yi" sort="Zhang, Yi" uniqKey="Zhang Y" first="Yi" last="Zhang">Yi Zhang</name></noRegion></country><country name="États-Unis"><noRegion><name sortKey="Youtie, Jan" sort="Youtie, Jan" uniqKey="Youtie J" first="Jan" last="Youtie">Jan Youtie</name></noRegion><name sortKey="Porter, Alan L" sort="Porter, Alan L" uniqKey="Porter A" first="Alan L." last="Porter">Alan L. 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