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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="discussion">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fenvs.2018.00115</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Opinion</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Enhancing Climate Change Research With Open Science</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Tai</surname> <given-names>Travis C.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/459976/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Robinson</surname> <given-names>James P. W.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/572093/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institute for the Oceans and Fisheries, University of British Columbia</institution>, <addr-line>Vancouver, BC</addr-line>, <country>Canada</country></aff>
<aff id="aff2"><sup>2</sup><institution>Lancaster Environment Centre, Lancaster University</institution>, <addr-line>Lancaster</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Rob Swart, Wageningen Environmental Research, Netherlands</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Sebastian Helgenberger, Institute for Advanced Sustainability Studies, Germany; Robert Gieseke, Potsdam-Institut f&#x000FC;r Klimafolgenforschung (PIK), Germany</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Travis C. Tai <email>t.tai&#x00040;oceans.ubc.ca</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Interdisciplinary Climate Studies, a section of the journal Frontiers in Environmental Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>10</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="collection">
<year>2018</year>
</pub-date>
<volume>6</volume>
<elocation-id>115</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>06</month>
<year>2018</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>09</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2018 Tai and Robinson.</copyright-statement>
<copyright-year>2018</copyright-year>
<copyright-holder>Tai and Robinson</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<kwd-group>
<kwd>interdisciplinary</kwd>
<kwd>science communication</kwd>
<kwd>open access</kwd>
<kwd>reproducibility</kwd>
<kwd>citation metrics</kwd>
<kwd>altmetrics</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="5"/>
<word-count count="3496"/>
</counts>
</article-meta>
</front>
<body>
<p>Climate change research aims to understand global environmental change and how it will impact nature and society. The broad scope of climate change impacts means that successful adaptation and mitigation efforts will require an unprecedented collaboration effort that unites diverse disciplines and is able to rapidly respond to evolving climate issues (IPCC, <xref ref-type="bibr" rid="B14">2014</xref>). However, to achieve this aim, climate change research practices need updating: key research findings remain behind journal paywalls, and scientific progress can be impeded by low levels of reproducibility and transparency (Ellison, <xref ref-type="bibr" rid="B8">2010</xref>; Morueta-Holme et al., <xref ref-type="bibr" rid="B20">2018</xref>), individual data ownership (Hampton et al., <xref ref-type="bibr" rid="B11">2015</xref>), and inefficient research workflows (Lowndes et al., <xref ref-type="bibr" rid="B17">2017</xref>). Furthermore, the level of public interest and policy engagement on climate change issues relies on fast communication of academic research to public institutions, with the result that the societal impact of climate change studies will differ according to their public availability and exposure. Here, we argue that by adopting open science (OS) principles, scientists can advance climate change research and accelerate efforts to mitigate impacts; especially for highly vulnerable developing regions of the world where research capacity is limited. We underscore the specific benefits of OS in raising the academic and societal impact of climate change research using citation and media metrics.</p>
<sec id="s1">
<title>OS facilitates collaboration and triage</title>
<p>The pace of climate change combined with a need to address societal and ecological impacts with limited resources mean that climate change research is fast-moving and interdisciplinary. Some fields, such as biological conservation, can be considered triage disciplines that require efficient and rapid decision making (Bottrill et al., <xref ref-type="bibr" rid="B4">2008</xref>). To this end, OS principles can help to minimize scientific uncertainty while increasing collaboration potential. For example, OS encourages data and code sharing (Ram, <xref ref-type="bibr" rid="B28">2013</xref>), assists the peer-review process with fully-reproducible manuscripts (Lowndes et al., <xref ref-type="bibr" rid="B17">2017</xref>), and reduces time to publication with preprints and open access (OA) journals (Vale, <xref ref-type="bibr" rid="B32">2015</xref>). Most scientists agree that publicly-funded research should be freely available (Dallmeier-Tiessen et al., <xref ref-type="bibr" rid="B7">2011</xref>) and several institutions have successfully implemented OS practices to share data and research in open-access archives. For instance, research on climate-driven thermal bleaching events in coral reef ecosystems has benefited hugely from open access to NOAA&#x00027;s large-scale monitoring data (e.g., NOAA CoralWatch; Harris et al., <xref ref-type="bibr" rid="B12">2017</xref>). Although comprehensive open data policies have been implemented by some governments (e.g., USA; Obama, <xref ref-type="bibr" rid="B24">2013</xref>) and journal groups (e.g., Nature editors, <xref ref-type="bibr" rid="B21">2018</xref>), journal policies on data sharing are typically insufficient for adequate reproducibility (Stodden et al., <xref ref-type="bibr" rid="B31">2018</xref>). Nonetheless, these examples demonstrate importance of adopting open data principles; comprehensive uptake of these practices will substantially enhance the application of academic research to climate change issues.</p>
<p>Academic and non-academic communication of climate change may be especially important for developing nations. Most climate change research is published through institutes within the developed world (McSweeney, <xref ref-type="bibr" rid="B19">2015</xref>), yet the greatest impacts will be observed in some of the least developed and most vulnerable regions of the world (IPCC, <xref ref-type="bibr" rid="B14">2014</xref>; Blasiak et al., <xref ref-type="bibr" rid="B1">2017</xref>). Inability to access subscription-only publications may inhibit science-based policy in developing countries. For example, inaccessibility of primary research has contributed to low citation rates in policy plans for tropical marine protected areas, implying that environmental management may fall behind current scientific knowledge (Cvitanovic et al., <xref ref-type="bibr" rid="B6">2014</xref>). With the rise in usage of publication repositories such as Sci-Hub (<ext-link ext-link-type="uri" xlink:href="https://en.wikipedia.org/wiki/Sci-Hub">https://en.wikipedia.org/wiki/Sci-Hub</ext-link>), which enable users to download PDF versions of paywalled articles, there is clearly a widespread demand for OA research (Bohannon, <xref ref-type="bibr" rid="B2">2016</xref>; Himmelstein et al., <xref ref-type="bibr" rid="B13">2018</xref>).</p></sec>
<sec id="s2">
<title>OA benefits to research communication: citations and altmetric data</title>
<p>Open science practices can result in greater public engagement (Wang et al., <xref ref-type="bibr" rid="B34">2015</xref>) and, through OA publications, increase citation rates (&#x0201C;the OA citation advantage&#x0201D;) (Lawrence, <xref ref-type="bibr" rid="B16">2001</xref>; Eysenbach, <xref ref-type="bibr" rid="B9">2006</xref>). Using Scopus citation data, we show that the proportion of OA studies increased substantially over time in publications containing &#x0201C;climat<sup>&#x0002A;</sup> change&#x0201D; in their title, abstract, or keywords between 2007 and 2016 (Scopus; <ext-link ext-link-type="uri" xlink:href="http://www.scopus.com">www.scopus.com</ext-link>), accounting for only 4% in 2007 and increasing to 25% in 2016 (Figure <xref ref-type="fig" rid="F1">1</xref>). However, this varied by journal rank (JR). We categorized journals into four groups, using JRs that are 3-year weighted citation rates obtained from SCImago Journal Rankings (see Figure <xref ref-type="fig" rid="F1">1</xref> caption for category breakdown; SCImago<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref>). For the low JR category, OA publications in 2016 accounted for &#x0003C; 20%, while the medium category had the largest OA proportion at 30%. High and very high categories had 23% and 26% OA, respectively. Popular OA journals such as PLoS ONE and Scientific Reports comprised 71 and 24% of OA publications within their JR groups (medium- and high-ranked, respectively), and 15 and 3% of all publications within their groups, respectively. Across all journal ranks, OA climate change studies were cited more than closed studies (Figure <xref ref-type="fig" rid="F2">2A</xref>), indicating that adopting OA could lead to earlier and increased citations of climate change research, and thus accelerate scientific progression by building upon existing science at a faster rate (Eysenbach, <xref ref-type="bibr" rid="B9">2006</xref>; Lowndes et al., <xref ref-type="bibr" rid="B17">2017</xref>). Though we used SCImago Journal Rankings to keep consistency with the Scopus citation database, such citation-based metrics are coarse measures of journal research quality, and do not represent research impact for individual papers (Lariviere et al., <xref ref-type="bibr" rid="B15">2016</xref>) or non-academic audiences.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Increasing prevalence of open access (OA) climate studies published between 2007 and 2016. Proportional increase in OA climate change publications (black line) and across four journal ranking categories (colored lines; low &#x0003D; 0.14&#x02013;0.93, medium &#x0003D; 0.93&#x02013;1.5, high &#x0003D; 1.5&#x02013;2.2, very high &#x0003D; 2.2&#x02013;18.1). Publications were extracted from Scopus (<ext-link ext-link-type="uri" xlink:href="http://www.scopus.com">www.scopus.com</ext-link>) for articles and reviews published between 2007 and 2016 containing the term &#x0201C;climat&#x0002A; change&#x0201D; in title, abstract, or keywords. We further restricted publications to those journals with &#x0003E;100 total citation records (i.e., journals which regularly published climate change research, <italic>n</italic> &#x0003D; 225). Journal rankings are 3-year weighted citation rates (SCImago Journal Rankings; <ext-link ext-link-type="uri" xlink:href="http://www.scimagojr.com">www.scimagojr.com</ext-link>), ranging from 0.14 to 18.13. Bins are the 25th, 50th, and 75th quantiles of the journal rank distribution.</p></caption>
<graphic xlink:href="fenvs-06-00115-g0001.tif"/>
</fig>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Citations, communication, and media influence of closed and open access climate change studies published between 2007 and 2016. Points are predicted mean number of citations <bold>(A)</bold>, news mentions <bold>(B)</bold>, twitter mentions <bold>(C)</bold>, and policy mentions <bold>(D)</bold> in four journal ranking categories, controlling for effects of publication year and journal on citations/mentions. Dashed lines are mean citations/mentions controlling for journal rank, publication year and journal name. Citations were extracted from Scopus for the same studies in Figure <xref ref-type="fig" rid="F1">1</xref>. News, twitter and policy mentions were extracted from Altmetric (<ext-link ext-link-type="uri" xlink:href="http://www.altmetric.com">www.altmetric.com</ext-link>) for study DOIs in Figure <xref ref-type="fig" rid="F1">1</xref>. Citations and mentions were averaged for each journal in each year, and fitted to linear mixed effects models with journal ranking bin (4 bins represented by the 25th, 50th, and 75th quantiles) and access (open/closed) as fixed effects and year and journal as random intercepts. Citations and mentions were log<sub>10</sub> transformed for normality and presented on a log<sub>10</sub> scale. All analyses were conducted in R 3.4.4 (R Core Team, <xref ref-type="bibr" rid="B26">2018</xref>).</p></caption>
<graphic xlink:href="fenvs-06-00115-g0002.tif"/>
</fig>
<p>Beyond academic citation advantages, OA climate change research can have a greater societal impact when studies are communicated to non-academic audiences by mainstream news and social media, as well as used by policymakers (Wang et al., <xref ref-type="bibr" rid="B34">2015</xref>; Bornmann et al., <xref ref-type="bibr" rid="B3">2016</xref>). In &#x0201C;mentions&#x0201D; of climate change studies in online news sources, Twitter feeds, and policy documents (<ext-link ext-link-type="uri" xlink:href="http://www.altmetric.com">www.altmetric.com</ext-link>), we show that OA studies were communicated more frequently (Figures <xref ref-type="fig" rid="F2">2B&#x02013;D</xref>), likely due to those studies being more accessible to non-academic audiences. Despite the positive OA effect, the most widely-communicated papers were high impact and closed access papers (e.g., 88% of studies with &#x0003E;100 news mentions were closed access). High-ranking journals such as <italic>Nature</italic> and <italic>Science</italic> are often promoted with academic press releases, highlighting how paywalls can limit public understanding and engagement of academic knowledge (Parker, <xref ref-type="bibr" rid="B25">2013</xref>). Nonetheless, higher news and Twitter activity for OA studies&#x02014;irrespective of journal rank&#x02014;supports a longstanding perception that open research is more widely disseminated and discussed online (Wang et al., <xref ref-type="bibr" rid="B34">2015</xref>; C&#x000F4;t&#x000E9; and Darling, <xref ref-type="bibr" rid="B5">2018</xref>).</p>
<p>Policy documents cited open studies more often than closed, and this difference was consistent across JRs (Figure <xref ref-type="fig" rid="F2">2D</xref>). Thus, when policymakers lack institutional access to paywalled journals, the OA effect may result in greater uptake of primary research into policy. However, because Altmetric tracks major policy groups in North America and Europe (Bornmann et al., <xref ref-type="bibr" rid="B3">2016</xref>), we note that these policy trends may be biased toward academic authors working for international organizations (e.g., Food and Agriculture Organization of the United Nations, World Bank, Intergovernmental Panel on Climate Change). While our results show a positive trend toward OA (Figure <xref ref-type="fig" rid="F1">1</xref>) and higher OA mentions in policy documents (Figure <xref ref-type="fig" rid="F2">2D</xref>), important research still remains behind paywalls and there is evidence that subscription-only publishing models can limit the uptake of current scientific knowledge by policymakers (e.g., Cvitanovic et al., <xref ref-type="bibr" rid="B6">2014</xref>; Fuller et al., <xref ref-type="bibr" rid="B10">2014</xref>; Rafidimanantsoa et al., <xref ref-type="bibr" rid="B27">2018</xref>). For example, OA may be especially important for small-scale, low-impact studies which are relevant for local policy but do not receive much media attention.</p></sec>
<sec id="s3">
<title>Transitioning to open climate change research</title>
<p>Core OS principles are simply the open sharing of data, code, and papers throughout the research process (Hampton et al., <xref ref-type="bibr" rid="B11">2015</xref>; McKiernan et al., <xref ref-type="bibr" rid="B18">2016</xref>). Such practices have reformed entire disciplines (e.g., preprints in mathematics, open genome data in genetics; Nielsen, <xref ref-type="bibr" rid="B22">2011</xref>), but the transition to OS for climate change research is incomplete. For climate change scientists, who must respond to evolving environmental changes with research that has considerable societal impact, the open sharing of data, code, and research outputs could be transformative (e.g., Lowndes et al., <xref ref-type="bibr" rid="B17">2017</xref>). Because of the success of OS in other fields, tools for OS are already freely available (Table <xref ref-type="table" rid="T1">1</xref>). For example, several preprint and data repositories target climate change fields (e.g., MarXiv for marine science), while existing version control and coding tools have been adapted for an OS workflow in environmental research (e.g., RStudio and Github, Lowndes et al., <xref ref-type="bibr" rid="B17">2017</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Recommendations to advance climate change research with open science tools.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Open science practice</bold></th>
<th valign="top" align="left"><bold>Benefits</bold></th>
<th valign="top" align="left"><bold>Application to climate change research</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Publish open access</td>
<td valign="top" align="left">Increase uptake of primary research by public institutions (government and policy)</td>
<td valign="top" align="left">Limited uptake of scientific knowledge by policymakers (Cvitanovic et al., <xref ref-type="bibr" rid="B6">2014</xref>) may be addressed with open access (Figure <xref ref-type="fig" rid="F2">2D</xref>)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Improve access to science by developing countries, thus enhancing climate change adaptation and mitigation efforts</td>
<td valign="top" align="left">Developing countries, which are most at risk to climate change impacts (IPCC, <xref ref-type="bibr" rid="B14">2014</xref>), can access up-to-date climate research</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Improve public communication of scientific evidence, thus raising public understanding of science</td>
<td valign="top" align="left">Prior knowledge of climate change causes are correlated to heightened concern (Shi et al., <xref ref-type="bibr" rid="B30">2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Adopt reproducible and transparent research workflows</td>
<td valign="top" align="left">Increase efficiency of research and robustness of findings</td>
<td valign="top" align="left">Progression of open science data tools and practices for increased transparency (Lowndes et al., <xref ref-type="bibr" rid="B17">2017</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Archive data, code, and preprints</td>
<td valign="top" align="left">Greater sharing of data, code, and ideas will stimulate more collaborative and interdisciplinary research</td>
<td valign="top" align="left">Journals publishing climate change research should adopt transparency policies (Nosek et al., <xref ref-type="bibr" rid="B23">2015</xref>) Standardized metadata reporting will facilitate literature comparisons and meta-analyses (Morueta-Holme et al., <xref ref-type="bibr" rid="B20">2018</xref>) Openly-available environmental monitoring datasets have been critical sources of information (e.g., NOAA&#x00027;s SST product; Reynolds et al., <xref ref-type="bibr" rid="B29">2002</xref>) Open science workflows facilitate large collaborations (e.g., GitHub, Open Science Framework; Ram, <xref ref-type="bibr" rid="B28">2013</xref>; Wilson et al., <xref ref-type="bibr" rid="B36">2014</xref>)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Data availability will advance practices of &#x0201C;climate change triage&#x0201D;</td>
<td valign="top" align="left">Climate change triage that supports long-term values of multiple stakeholders (e.g., scientists, Indigenous communities, government, industry; Wheeler et al., <xref ref-type="bibr" rid="B35">2016</xref>) will require integration of diverse datasets from multiple disciplines Access to open datasets at global and local scales facilitates conservation triage of coral reefs (Harris et al., <xref ref-type="bibr" rid="B12">2017</xref>)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Fast release of ideas and improved research before peer-review</td>
<td valign="top" align="left">Archiving pre- and post-prints on open access repositories such as arXiv, biorXiv, MarXiv, and EarthArXiv</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Despite the clear benefits of OS in enhancing research output and communication to stakeholders, considerable barriers to OS uptake persist, including closed publishing, fear of being &#x0201C;scooped,&#x0201D; and clarity of data ownership (Nosek et al., <xref ref-type="bibr" rid="B23">2015</xref>). Research outputs&#x02014;usually publications&#x02014;are already required by most granting agencies, where OA publishing costs are typically covered by grants and institutions (Dallmeier-Tiessen et al., <xref ref-type="bibr" rid="B7">2011</xref>). Furthermore, most climate change research is funded by developed countries yet may focus on climate issues in developing countries that often lack the institutional capacity for journal subscriptions and OA fees (van Helden, <xref ref-type="bibr" rid="B33">2012</xref>; McSweeney, <xref ref-type="bibr" rid="B19">2015</xref>). Thus, to incentivize OS climate change research, we propose funding bodies should require grant holders to openly publish datasets, papers and code, and mandate active dissemination of climate change findings to stakeholders rather than passive dissemination by publication.</p>
<p>Scientists across disciplines have argued, convincingly, for improving research practices by adopting OS principles (Hampton et al., <xref ref-type="bibr" rid="B11">2015</xref>; Nosek et al., <xref ref-type="bibr" rid="B23">2015</xref>; McKiernan et al., <xref ref-type="bibr" rid="B18">2016</xref>). We extend these arguments to show that adoption of OS practices, such as OA publications, OS workflows, and sharing data, is particularly needed to improve the academic and societal impact of climate change research. Given that global efforts to combat climate change impacts will require both rapid collaborative research and communication among academics, policymakers and the public, climate change research is in urgent need of strong OS stewardship.</p></sec>
<sec id="s4">
<title>Data availability</title>
<p>Journal citations and mentions were extracted from Scopus (<ext-link ext-link-type="uri" xlink:href="http://www.scopus.com">www.scopus.com</ext-link>) and Altmetric (<ext-link ext-link-type="uri" xlink:href="http://www.altmetric.com">www.altmetric.com</ext-link>). We provide our queried search terms and R coding scripts at github.com/travistai2/open-science-cc.</p></sec>
<sec id="s5">
<title>Author contributions</title>
<p>TT conceived the idea. TT and JR contributed equally to data analysis and writing.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec></sec>
</body>
<back>
<ack><p>We thank Jonathan Adams for discussions about altmetrics, and William Cheung, Andres Cisneros, Cameron Freshwater, Nick Graham, Laura Kehoe, Sally Keith and Rashid Sumaila for useful comments on the manuscript.</p>
</ack>
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<fn id="fn0001"><p><sup>1</sup>SCImago (n.d.). <italic>SJR &#x02014; SCImago Journal &#x00026; Country Rank [Portal]</italic>. Available online at: <ext-link ext-link-type="uri" xlink:href="http://www.scimagojr.com">http://www.scimagojr.com</ext-link> (Accessed May 02, 2018).</p></fn>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> TT is grateful for funding support from OceanCanada Partnership and MEOPAR.</p>
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