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Publishing Without Publishers: A Decentralized Approach to Dissemination, Retrieval, and Archiving of Data

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 9366))

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Abstract

Making available and archiving scientific results is for the most part still considered the task of classical publishing companies, despite the fact that classical forms of publishing centered 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. Here 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 for the Semantic Web in general. Evaluation of the current small network shows that this system is efficient and reliable.

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Author information

Authors and Affiliations

  1. Department of Humanities, Social and Political Sciences, ETH Zurich, Zürich, Switzerland

    Tobias Kuhn

  2. Department of Computer Science, VU University Amsterdam, Amsterdam, The Netherlands

    Tobias Kuhn

  3. Swiss Institute of Bioinformatics, Geneva, Switzerland

    Christine Chichester

  4. Yale University School of Medicine, New Haven, CT, USA

    Michael Krauthammer

  5. Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA

    Michel Dumontier

Authors
  1. Tobias Kuhn

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  2. Christine Chichester

    You can also search for this author inPubMed Google Scholar

  3. Michael Krauthammer

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  4. Michel Dumontier

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Corresponding author

Correspondence toTobias Kuhn.

Editor information

Editors and Affiliations

  1. Pontificia Universidad Católica de Chile, Santiago de Chile, Chile

    Marcelo Arenas

  2. Universidad Politecnica de Madrid, Boadilla del Monte, Spain

    Oscar Corcho

  3. University of Southampton, Southampton, United Kingdom

    Elena Simperl

  4. Department of Computational Social Science, GESIS Leibniz-Institut, Köln, Nordrhein-Westfalen, Germany

    Markus Strohmaier

  5. The Open University, Milton Keynes, United Kingdom

    Mathieu d'Aquin

  6. IBM Research, Yorktown Heights, New York, USA

    Kavitha Srinivas

  7. Elsevier Labs., Amsterdam, The Netherlands

    Paul Groth

  8. School of Medicine, Stanford University, Stanford, California, USA

    Michel Dumontier

  9. Lehigh University, Bethlehem, Pennsylvania, USA

    Jeff Heflin

  10. DAYTON, Ohio, USA

    Krishnaprasad Thirunarayan

  11. Wright State University, Dayton, Ohio, USA

    Krishnaprasad Thirunarayan

  12. University of Koblenz-Landau, Koblenz, Rheinland-Pfalz, Germany

    Steffen Staab

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© 2015 Springer International Publishing Switzerland

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Kuhn, T., Chichester, C., Krauthammer, M., Dumontier, M. (2015). Publishing Without Publishers: A Decentralized Approach to Dissemination, Retrieval, and Archiving of Data. In: Arenas, M.,et al. The Semantic Web - ISWC 2015. ISWC 2015. Lecture Notes in Computer Science(), vol 9366. Springer, Cham. https://doi.org/10.1007/978-3-319-25007-6_38

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