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Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide

Identifieur interne : 000127 ( Pmc/Checkpoint ); précédent : 000126; suivant : 000128

Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide

Auteurs : Carol Tenopir [États-Unis] ; Elizabeth D. Dalton [États-Unis] ; Suzie Allard [États-Unis] ; Mike Frame [États-Unis] ; Ivanka Pjesivac [États-Unis] ; Ben Birch [États-Unis] ; Danielle Pollock [États-Unis] ; Kristina Dorsett [États-Unis]

Source :

RBID : PMC:4550246

Abstract

The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.


Url:
DOI: 10.1371/journal.pone.0134826
PubMed: 26308551
PubMed Central: 4550246


Affiliations:


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PMC:4550246

Le document en format XML

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<p>The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.</p>
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<name sortKey="Dillman, Da" uniqKey="Dillman D">DA Dillman</name>
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<pmc-dir>properties open_access</pmc-dir>
<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">26308551</article-id>
<article-id pub-id-type="pmc">4550246</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0134826</article-id>
<article-id pub-id-type="publisher-id">PONE-D-15-14415</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide</article-title>
<alt-title alt-title-type="running-head">Changes in Data Sharing and Data Reuse</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Tenopir</surname>
<given-names>Carol</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dalton</surname>
<given-names>Elizabeth D.</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
<xref rid="cor001" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Allard</surname>
<given-names>Suzie</given-names>
</name>
<xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Frame</surname>
<given-names>Mike</given-names>
</name>
<xref ref-type="aff" rid="aff004">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pjesivac</surname>
<given-names>Ivanka</given-names>
</name>
<xref ref-type="aff" rid="aff005">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Birch</surname>
<given-names>Ben</given-names>
</name>
<xref ref-type="aff" rid="aff006">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pollock</surname>
<given-names>Danielle</given-names>
</name>
<xref ref-type="aff" rid="aff007">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dorsett</surname>
<given-names>Kristina</given-names>
</name>
<xref ref-type="aff" rid="aff008">
<sup>8</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff001">
<label>1</label>
<addr-line>School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff002">
<label>2</label>
<addr-line>Center for Information & Communication Studies, University of Tennessee, Knoxville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff003">
<label>3</label>
<addr-line>School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff004">
<label>4</label>
<addr-line>US Geological Survey, Oak Ridge, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff005">
<label>5</label>
<addr-line>Grady College of Journalism and Mass Communication, University of Georgia, Athens, Georgia, United States of America</addr-line>
</aff>
<aff id="aff006">
<label>6</label>
<addr-line>School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff007">
<label>7</label>
<addr-line>School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff008">
<label>8</label>
<addr-line>School of Information Sciences, University of Tennessee, Knoxville, Tennessee, United States of America</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>van den Besselaar</surname>
<given-names>Peter</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">
<addr-line>VU University Amsterdam, NETHERLANDS</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: CT SA MF. Performed the experiments: CT IP BB. Analyzed the data: EDD IP. Wrote the paper: EDD CT SA MF DP KD.</p>
</fn>
<corresp id="cor001">* E-mail:
<email>eddalton@utk.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>8</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="collection">
<year>2015</year>
</pub-date>
<volume>10</volume>
<issue>8</issue>
<elocation-id>e0134826</elocation-id>
<history>
<date date-type="received">
<day>7</day>
<month>4</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>7</month>
<year>2015</year>
</date>
</history>
<permissions>
<license xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">
<license-p>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the
<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons CC0</ext-link>
public domain dedication</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:type="simple" xlink:href="pone.0134826.pdf"></self-uri>
<abstract>
<p>The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.</p>
</abstract>
<funding-group>
<funding-statement>The project was funded as part of the National Science Foundation, Division of Cyberinfrastructure (
<ext-link ext-link-type="uri" xlink:href="http://www.nsf.gov/div/index.jsp?div=ACI">http://www.nsf.gov/div/index.jsp?div=ACI</ext-link>
), Data Observation Network for Earth (DataONE) NSF award #0830944 under a Cooperative Agreement. 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="0"></fig-count>
<table-count count="0"></table-count>
<page-count count="24"></page-count>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>All survey data files are available from the Dryad Digital Repository database (doi:
<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5061/dryad.1ph92">10.5061/dryad.1ph92</ext-link>
) at
<ext-link ext-link-type="uri" xlink:href="https://datadryad.org">https://datadryad.org</ext-link>
.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes>
<title>Data Availability</title>
<p>All survey data files are available from the Dryad Digital Repository database (doi:
<ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5061/dryad.1ph92">10.5061/dryad.1ph92</ext-link>
) at
<ext-link ext-link-type="uri" xlink:href="https://datadryad.org">https://datadryad.org</ext-link>
.</p>
</notes>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>États-Unis</li>
</country>
<region>
<li>Géorgie (États-Unis)</li>
<li>Tennessee</li>
</region>
</list>
<tree>
<country name="États-Unis">
<region name="Tennessee">
<name sortKey="Tenopir, Carol" sort="Tenopir, Carol" uniqKey="Tenopir C" first="Carol" last="Tenopir">Carol Tenopir</name>
</region>
<name sortKey="Allard, Suzie" sort="Allard, Suzie" uniqKey="Allard S" first="Suzie" last="Allard">Suzie Allard</name>
<name sortKey="Birch, Ben" sort="Birch, Ben" uniqKey="Birch B" first="Ben" last="Birch">Ben Birch</name>
<name sortKey="Dalton, Elizabeth D" sort="Dalton, Elizabeth D" uniqKey="Dalton E" first="Elizabeth D." last="Dalton">Elizabeth D. Dalton</name>
<name sortKey="Dorsett, Kristina" sort="Dorsett, Kristina" uniqKey="Dorsett K" first="Kristina" last="Dorsett">Kristina Dorsett</name>
<name sortKey="Frame, Mike" sort="Frame, Mike" uniqKey="Frame M" first="Mike" last="Frame">Mike Frame</name>
<name sortKey="Pjesivac, Ivanka" sort="Pjesivac, Ivanka" uniqKey="Pjesivac I" first="Ivanka" last="Pjesivac">Ivanka Pjesivac</name>
<name sortKey="Pollock, Danielle" sort="Pollock, Danielle" uniqKey="Pollock D" first="Danielle" last="Pollock">Danielle Pollock</name>
</country>
</tree>
</affiliations>
</record>

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