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      Decentralized provenance-aware publishing with nanopublications

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          Abstract

          Publication and archival of scientific results is still commonly considered the responsability of classical publishing companies. Classical forms of publishing, however, which center around printed narrative articles, no longer seem well-suited in the digital age. In particular, there exist currently no efficient, reliable, and agreed-upon methods for publishing scientific datasets, which have become increasingly important for science. In this article, we propose to design scientific data publishing as a web-based bottom-up process, without top-down control of central authorities such as publishing companies. Based on a novel combination of existing concepts and technologies, we present a server network to decentrally store and archive data in the form of nanopublications, an RDF-based format to represent scientific data. We show how this approach allows researchers to publish, retrieve, verify, and recombine datasets of nanopublications in a reliable and trustworthy manner, and we argue that this architecture could be used as a low-level data publication layer to serve the Semantic Web in general. Our evaluation of the current network shows that this system is efficient and reliable.

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          Freenet: A Distributed Anonymous Information Storage and Retrieval System

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            The value of data.

            Data citation and the derivation of semantic constructs directly from datasets have now both found their place in scientific communication. The social challenge facing us is to maintain the value of traditional narrative publications and their relationship to the datasets they report upon while at the same time developing appropriate metrics for citation of data and data constructs.
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              Permacoin: Repurposing Bitcoin Work for Data Preservation

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                Author and article information

                Contributors
                Journal
                peerj-cs
                peerj-cs
                PeerJ Comput. Sci.
                PeerJ Computer Science
                PeerJ Comput. Sci.
                PeerJ Inc. (San Francisco, USA )
                2376-5992
                22 August 2016
                : 2
                : e78
                Affiliations
                [1 ]Department of Computer Science, VU University Amsterdam , Amsterdam, Netherlands
                [2 ]Nestle Institute of Health Sciences , Lausanne, Switzerland
                [3 ]Yale University School of Medicine, Yale University , New Haven, CT, United States
                [4 ]Yale Program in Computational Biology and Bioinformatics, Yale University , New Haven, CT, United States
                [5 ]Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Universitat Pompeu Fabra , Barcelona, Spain
                [6 ]Data Science Lab, Ghent University , Ghent, Belgium
                [7 ]Institute of Informatics and Telecommunications, NCSR Demokritos , Athens, Greece
                [8 ]SciFY Private Not-for-profit Company , Athens, Greece
                [9 ]AKSW Research Group, University of Leipzig , Leipzig, Germany
                [10 ]Maryland Institute for Technology in the Humanities, University of Maryland , College Park, MD, United States
                [11 ]Stanford Center for Biomedical Informatics Research, Stanford University , Stanford, CA, United States
                Article
                cs-78
                10.7717/peerj-cs.78
                58caa642-5e57-4d9e-a300-118185c8ce10
                ©2016 Kuhn et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.

                History
                : 18 February 2016
                : 22 July 2016
                Funding
                Funded by: Research Foundation–Flanders (FWO)
                Ruben Verborgh is a postdoctoral fellow of the Research Foundation–Flanders (FWO). The other authors received no particular funding for this work. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Bioinformatics
                Computer Networks and Communications
                Digital Libraries
                World Wide Web and Web Science

                Computer science
                Data publishing,Nanopublications,Provenance,Linked Data,Semantic Web
                Computer science
                Data publishing, Nanopublications, Provenance, Linked Data, Semantic Web

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