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      The Open Knowledge Foundation: Open Data Means Better Science

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      PLoS Biology
      Public Library of Science

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          Abstract

          Open data leads to better science, but overcoming the barriers to widespread publication and availability of open scientific data requires a community effort. The Open Knowledge Foundation Open Data in Science Working Group describes their role in this movement.

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          Most cited references7

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          Sharing Detailed Research Data Is Associated with Increased Citation Rate

          Background Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. Principal Findings We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression. Significance This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.
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            Sharing research data to improve public health.

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              Linked open drug data for pharmaceutical research and development

              There is an abundance of information about drugs available on the Web. Data sources range from medicinal chemistry results, over the impact of drugs on gene expression, to the outcomes of drugs in clinical trials. These data are typically not connected together, which reduces the ease with which insights can be gained. Linking Open Drug Data (LODD) is a task force within the World Wide Web Consortium's (W3C) Health Care and Life Sciences Interest Group (HCLS IG). LODD has surveyed publicly available data about drugs, created Linked Data representations of the data sets, and identified interesting scientific and business questions that can be answered once the data sets are connected. The task force provides recommendations for the best practices of exposing data in a Linked Data representation. In this paper, we present past and ongoing work of LODD and discuss the growing importance of Linked Data as a foundation for pharmaceutical R&D data sharing.
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                Author and article information

                Journal
                PLoS Biol
                plos
                plosbiol
                PLoS Biology
                Public Library of Science (San Francisco, USA )
                1544-9173
                1545-7885
                December 2011
                December 2011
                6 December 2011
                : 9
                : 12
                : e1001195
                Affiliations
                [1]Department of Zoology, University of Oxford, Oxford, United Kingdom
                Author notes

                The Community Page is a forum for organizations and societies to highlight their efforts to enhance the dissemination and value of scientific knowledge.

                Article
                PBIOLOGY-D-11-03210
                10.1371/journal.pbio.1001195
                3232214
                22162946
                16432b23-406f-44f8-a7f9-304bdd7008de
                Jennifer C. Molloy. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                Page count
                Pages: 4
                Categories
                Community Page
                Biology

                Life sciences
                Life sciences

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