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Progress of Self-Archiving Within the DML Corpus, with a View Toward Community Dynamics

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Intelligent Computer Mathematics (CICM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9791))

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Abstract

Self-archiving has developed as a key component to realize Open Access within the DML framework, with the arXiv being by far the most widely used platform. Important features like full-text formula search are facilitated by the openly available sources. However, despite the obvious growth of the arXiv corpus, it is not clear what share of the published mathematical literature is already openly accessible in this way, and whether it might eventually converge to full coverage. We present the methodology of the matching procedure of the zbMATH corpus (comprising most of the published math literature since 1868) to the arXiv, and derive from the granular zbMATH data a detailed analysis of the progress of self-archiving within the different mathematical communities, taking into account subject specifics, publication delays, peer review policies, and author networks, among other things. On this basis we give some projections of future developments.

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Notes

  1. 1.

    The generic approach of [9] has the immense methodological drawback of testing just accessibility, therefore mixing self-archiving, academic, gold and predatory open access, and relying on Google Scholar and Microsoft Academic Search related estimates, with their inherent high imprecision due to possibly inflated data and largely unsolved questions of scope and quality.

  2. 2.

    There are of course prominent exceptions like the famous [18], currently the arXiv:math document with the earliest publication year.

  3. 3.

    The most extreme case so far seems to be [17] with a delay of no less than 21 years.

  4. 4.

    The publication type plays a role as well: so far, only 331 math books are on the arXiv, a considerable part of which are derived from PhD theses.

References

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  16. Müller, F., Teschke, O.: Will all mathematics be on the arXiv (soon)? Eur. Math. Soc. Newslett. 99, 55–57 (2016)

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  17. Poirier, A.: Hubbard forests. Ergodic Theory Dyn. Syst. 33(1), 303–317 (2013). arXiv:math/9208204

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  18. Grothendieck, A., Raynaud, M.: Séminaire de géométrie algébrique du Bois Marie 1960/1961 (SGA 1). Lect. Notes Math. 224, xxii+447 pp. (1971). arXiv:math/0206203

  19. Saharon Shelah author profile. https://zbmath.org/authors/shelah.saharon

  20. TEI XML format. http://www.tei-c.org/index.xml

  21. zbMATcH interface. https://zbmath.org/citationmatching/

  22. zbMATH database (1755–). https://zbmath.org/

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Author information

Authors and Affiliations

  1. FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Franklinstr. 11, 10587, Berlin, Germany

    Fabian Müller & Olaf Teschke

Authors
  1. Fabian Müller
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  2. Olaf Teschke
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Corresponding author

Correspondence to Olaf Teschke .

Editor information

Editors and Affiliations

  1. Jacobs University Bremen, Bremen, Germany

    Michael Kohlhase

  2. Chalmers University, Göteborg, Sweden

    Moa Johansson

  3. National Institute of Standards and Technology, Gaithersburg, Maryland, USA

    Bruce Miller

  4. Microsoft Research, Redmond, Washington, USA

    Leonardo de Moura

  5. University of Waterloo, Waterloo, Ontario, Canada

    Frank Tompa

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© 2016 Springer International Publishing Switzerland

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Müller, F., Teschke, O. (2016). Progress of Self-Archiving Within the DML Corpus, with a View Toward Community Dynamics. In: Kohlhase, M., Johansson, M., Miller, B., de Moura, L., Tompa, F. (eds) Intelligent Computer Mathematics. CICM 2016. Lecture Notes in Computer Science(), vol 9791. Springer, Cham. https://doi.org/10.1007/978-3-319-42547-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-42547-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42546-7

  • Online ISBN: 978-3-319-42547-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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