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    <dc:creator>max</dc:creator><description><![CDATA[Built and developed by researchers, to ensure that everyone can join in Open Science.

The OpenAIRE project, in the vanguard of the open access and open data movements in Europe was commissioned by the EC to support their nascent Open Data policy by providing a catch-all repository for EC funded research. CERN, an OpenAIRE partner and pioneer in open source, open access and open data, provided this capability and Zenodo was launched in May 2013.

In support of its research programme CERN has developed tools for Big Data management and extended Digital Library capabilities for Open Data. Through Zenodo these Big Science tools could be effectively shared with the long­-tail of research.]]></description>
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    <link>https://www.pubpub.org/</link>
    <dc:creator>max</dc:creator><description><![CDATA[Collaborative Community Publishing]]></description>
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<dc:source>https://pinboard.in/</dc:source>
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    <dc:date>2019-07-22T17:48:26+00:00</dc:date>
    <link>https://www.protocols.io/</link>
    <dc:creator>max</dc:creator><description><![CDATA[Collaborative platform and preprint server for methods, workflows, procedures, manuals, etc.]]></description>
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    <title>Zenodo</title>
    <dc:date>2016-02-04T16:27:03+00:00</dc:date>
    <link>http://zenodo.org/</link>
    <dc:creator>max</dc:creator><description><![CDATA[Zenodo is an open dependable home for the long-tail of science, enabling researchers to share and preserve any research outputs in any size, any format and from any science.]]></description>
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    <dc:date>2015-08-10T12:38:53+00:00</dc:date>
    <link>https://peerj.com/</link>
    <dc:creator>max</dc:creator><description><![CDATA[Award-winning Open Access publisher for the biomedical sciences. Lifetime publishing plans from $99.]]></description>
<dc:subject>open-access reproducible-research preprint</dc:subject>
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    <link>http://f1000research.com/</link>
    <dc:creator>max</dc:creator><description><![CDATA[is an innovative open access publishing platform offering immediate publication, open peer review and full data deposition and sharing.]]></description>
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    <dc:date>2015-08-10T12:34:24+00:00</dc:date>
    <link>https://www.authorea.com/users/53207</link>
    <dc:creator>max</dc:creator><description><![CDATA[A web application for collaborative scientific writing. You write in LaTeX, it renders nice HTML.]]></description>
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    <link>http://www.computer.org/csdl/mags/cs/2012/04/mcs2012040013-abs.html</link>
    <dc:creator>max</dc:creator><description><![CDATA[This article considers the obstacles involved in creating reproducible computational research as well as some efforts and approaches to overcome them.]]></description>
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<item rdf:about="http://ropensci.github.io/reproducibility-guide/sections/references/">
    <title>A big list of papers and blog posts related to reproducible research</title>
    <dc:date>2015-04-11T13:08:33+00:00</dc:date>
    <link>http://ropensci.github.io/reproducibility-guide/sections/references/</link>
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<item rdf:about="http://www.sciencemag.org/content/331/6018/649.full">
    <title>The journal Science's policy: Making Data Maximally Available</title>
    <dc:date>2015-04-06T15:01:15+00:00</dc:date>
    <link>http://www.sciencemag.org/content/331/6018/649.full</link>
    <dc:creator>max</dc:creator><description><![CDATA["To address the growing complexity of data and analyses, Science is extending our data access requirement listed above to include computer codes involved in the creation or analysis of data."]]></description>
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    <title>Reproducible Research for Scientific Computing: Tools and Strategies for Changing the Culture</title>
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    <link>https://web.stanford.edu/~vcs/papers/CiSE2012-LMS.pdf</link>
    <dc:creator>max</dc:creator><description><![CDATA[(PDF, courtesy of Stanford)]]></description>
<dc:subject>reproducible-research</dc:subject>
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    <title>Dryad: platform for data sharing</title>
    <dc:date>2015-04-06T14:56:17+00:00</dc:date>
    <link>http://datadryad.org/pages/faq#deposit</link>
    <dc:creator>max</dc:creator><description><![CDATA["Dryad aims to make data archiving as simple and as rewarding as possible through a suite of services not necessarily provided by publishers or institutional websites"]]></description>
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<item rdf:about="http://www.pnas.org/site/authors/journal.xhtml">
    <title>PNAS requires authors make data available to readers</title>
    <dc:date>2015-04-06T14:55:38+00:00</dc:date>
    <link>http://www.pnas.org/site/authors/journal.xhtml</link>
    <dc:creator>max</dc:creator><description><![CDATA["To allow others to replicate and build on work published in PNAS, authors must make materials, data, and associated protocols available to readers. Authors must disclose upon submission of the manuscript any restrictions on the availability of materials or information. Data not shown and personal communications cannot be used to support claims in the work."]]></description>
<dc:subject>reproducible-research</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:max/b:c6e1ede915ff/</dc:identifier>
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<item rdf:about="http://www.fasebj.org/content/27/4/1304.full">
    <title>Quantifying the effect of mandated data archiving on access to research data</title>
    <dc:date>2015-04-06T14:51:54+00:00</dc:date>
    <link>http://www.fasebj.org/content/27/4/1304.full</link>
    <dc:creator>max</dc:creator><description><![CDATA["At one extreme, we found that mandated data archiving policies that require the inclusion of a data availability statement in the manuscript improve the odds of finding the data online almost 1000-fold compared to having no policy. However, archiving rates at journals with less stringent policies were only very slightly higher than those with no policy at all. We also assessed the effectiveness of asking for data directly from authors and obtained over half of the requested datasets, albeit with ∼8 d delay and some disagreement with authors. Given the long-term benefits of data accessibility to the academic community, we believe that journal-based mandatory data archiving policies and mandatory data availability statements should be more widely adopted."]]></description>
<dc:subject>reproducible-research</dc:subject>
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    <title>Perspective: Reproducible Research in Computational Science (Science)</title>
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    <link>http://www.sciencemag.org/content/334/6060/1226.full</link>
    <dc:creator>max</dc:creator><description><![CDATA["Perhaps the biggest barrier to reproducible research is the lack of a deeply ingrained culture that simply requires reproducibility for all scientific claims."

Also includes a list of other interesting articles on reproducible research at the bottom.]]></description>
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    <title>figshare</title>
    <dc:date>2015-04-06T14:47:42+00:00</dc:date>
    <link>http://figshare.com/about</link>
    <dc:creator>max</dc:creator><description><![CDATA["figshare is a repository where users can make all of their research outputs available in a citable, shareable and discoverable manner."]]></description>
<dc:subject>reproducible-research</dc:subject>
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<item rdf:about="http://validation.scienceexchange.com/#/about">
    <title>Validation by Science Exchange - Identifying and rewarding high-quality research</title>
    <dc:date>2015-04-06T14:47:07+00:00</dc:date>
    <link>http://validation.scienceexchange.com/#/about</link>
    <dc:creator>max</dc:creator><description><![CDATA["Science Exchange provides a platform to rapidly and cost effectively validate studies, methods and reagents via independent replication of key experimental results. This allows the identification of high quality reproducible research and reagents."]]></description>
<dc:subject>reproducible-research</dc:subject>
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<item rdf:about="http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745">
    <title>Best Practices for Scientific Computing</title>
    <dc:date>2015-04-06T14:46:18+00:00</dc:date>
    <link>http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745</link>
    <dc:creator>max</dc:creator><description><![CDATA["We describe a set of best practices for scientific software development, based on research and experience, that will improve scientists' productivity and the reliability of their software."

These best practices are key for reproducible computational research.]]></description>
<dc:subject>reproducible-research</dc:subject>
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<item rdf:about="http://www.plosone.org/static/editorial#sharing">
    <title>PLOS ONE editorial policy: no proprietary data allowed</title>
    <dc:date>2015-04-06T14:43:57+00:00</dc:date>
    <link>http://www.plosone.org/static/editorial#sharing</link>
    <dc:creator>max</dc:creator><description><![CDATA["PLOS ONE will not consider a study if the conclusions depend solely on the analysis of proprietary data. If proprietary data were used, and the authors are unable to make these data public, then the paper must include an analysis of public data that validates the conclusions so others can reproduce the analysis."]]></description>
<dc:subject>reproducible-research</dc:subject>
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    <title>Reproducible research and Biostatistics</title>
    <dc:date>2015-04-06T14:40:21+00:00</dc:date>
    <link>http://biostatistics.oxfordjournals.org/content/10/3/405.full</link>
    <dc:creator>max</dc:creator><description><![CDATA[Author guidelines for the journal Biostatistics for reproducible research]]></description>
<dc:subject>reproducible-research</dc:subject>
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    <title>An invitation to reproducible computational research</title>
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    <link>http://biostatistics.oxfordjournals.org/content/11/3/385.full</link>
    <dc:creator>max</dc:creator><description><![CDATA[Why reproducible computational research is beneficial to everyone, including authors]]></description>
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    <title>Overleaf - Online Scientific Writing</title>
    <dc:date>2015-02-18T11:05:31+00:00</dc:date>
    <link>https://www.overleaf.com/</link>
    <dc:creator>max</dc:creator><description><![CDATA[Another LaTeX-based collaborative web application for scientific writing.]]></description>
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