IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v125y2020i3d10.1007_s11192-020-03705-0.html
   My bibliography  Save this article

Open access initiatives in European universities: analysis of their implementation and the visibility of publications in the YERUN network

Author

Listed:
  • Daniela Filippo

    (Carlos III University of Madrid
    Research Institute for Higher Education and Science (INAECU) (UAM-UC3M))

  • Jorge Mañana-Rodríguez

    (Carlos III University of Madrid)

Abstract

In this paper, the authors analyse the open access (OA) output of the universities in YERUN (the Young European Research Universities Network) and their institutional documentation of their own OA situation. The period from 2009 to 2019 was selected for the bibliometric analysis. The full register of publications for the YERUN universities was downloaded from Clarivate Analytics Web of Science Core Collection, and a set of bibliometric analyses was performed to provide an evidence-based response to the research questions (example: Do YERUN universities follow publication patterns similar to those of their countries of origin? How does OA affect the impact of scientific publications? What types of OA are used at each institution? Is there a relationship between specialization and OA?). The bibliometric analyses looked at four dimensions: activity and context indicators; collaboration indicators; specialization indicators; OA types and impact indicators. The document analysis included variables related to infrastructure, specific support actions, institutional policies and OA information availability. The paper concludes that the institutional measures and actions fostering OA identified on universities’ websites bear a correspondence with the bibliometric data. YERUN institutions have higher rates of OA publications than do their host countries, with a clear preference for the green route. OA publications are systematically more cited than non-OA publications, and green OA has more impact than do other types of OA. Also, no relationship was found between specialization and OA publication rate.

Suggested Citation

  • Daniela Filippo & Jorge Mañana-Rodríguez, 2020. "Open access initiatives in European universities: analysis of their implementation and the visibility of publications in the YERUN network," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2667-2694, December.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:3:d:10.1007_s11192-020-03705-0
    DOI: 10.1007/s11192-020-03705-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-020-03705-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-020-03705-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Christian Gumpenberger & María-Antonia Ovalle-Perandones & Juan Gorraiz, 2013. "On the impact of Gold Open Access journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 221-238, July.
    2. Bo-Christer Björk & Patrik Welling & Mikael Laakso & Peter Majlender & Turid Hedlund & Guðni Guðnason, 2010. "Open Access to the Scientific Journal Literature: Situation 2009," PLOS ONE, Public Library of Science, vol. 5(6), pages 1-9, June.
    3. Mikael Laakso & Juho Lindman & Cenyu Shen & Linus Nyman & Bo-Christer Björk, 2017. "Research output availability on academic social networks: implications for stakeholders in academic publishing," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(2), pages 125-133, May.
    4. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    5. Yassine Gargouri & Chawki Hajjem & Vincent Larivière & Yves Gingras & Les Carr & Tim Brody & Stevan Harnad, 2010. "Self-Selected or Mandated, Open Access Increases Citation Impact for Higher Quality Research," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-12, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elías Sanz-Casado & Daniela Filippo & Rafael Aleixandre Benavent & Vidar Røeggen & Janne Pölönen, 2021. "Impact and visibility of Norwegian, Finnish and Spanish journals in the fields of humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9031-9049, November.
    2. Daniela Filippo & Jorge Mañana-Rodriguez, 2022. "The practical implementation of open access policies and mandates in Spanish public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7147-7167, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniela Filippo & Jorge Mañana-Rodriguez, 2022. "The practical implementation of open access policies and mandates in Spanish public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7147-7167, December.
    2. Mikael Laakso & Andrea Polonioli, 2018. "Open access in ethics research: an analysis of open access availability and author self-archiving behaviour in light of journal copyright restrictions," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 291-317, July.
    3. Sergio Copiello, 2019. "The open access citation premium may depend on the openness and inclusiveness of the indexing database, but the relationship is controversial because it is ambiguous where the open access boundary lie," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 995-1018, November.
    4. Pablo Dorta-González & Sara M. González-Betancor & María Isabel Dorta-González, 2017. "Reconsidering the gold open access citation advantage postulate in a multidisciplinary context: an analysis of the subject categories in the Web of Science database 2009–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 877-901, August.
    5. Maja Jokić & Andrea Mervar & Stjepan Mateljan, 2018. "Scientific potential of European fully open access journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1373-1394, March.
    6. Jonathan Wheeler & Ngoc-Minh Pham & Kenning Arlitsch & Justin D. Shanks, 2022. "Impact factions: assessing the citation impact of different types of open access repositories," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4977-5003, August.
    7. Roberta Ruggieri & Fabrizio Pecoraro & Daniela Luzi, 2021. "An intersectional approach to analyse gender productivity and open access: a bibliometric analysis of the Italian National Research Council," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1647-1673, February.
    8. Milan Frederik Klus & Alexander Dilger, 2020. "Success factors of academic journals in the digital age," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1115-1143, November.
    9. Li Zhang & Erin Watson, 2018. "The prevalence of green and grey open access: Where do physical science researchers archive their publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2021-2035, December.
    10. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    11. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
    12. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    13. Coccia, Mario & Wang, Lili, 2015. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 155-169.
    14. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    15. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    16. Núria Bautista-Puig & Daniela De Filippo & Elba Mauleón & Elías Sanz-Casado, 2019. "Scientific Landscape of Citizen Science Publications: Dynamics, Content and Presence in Social Media," Publications, MDPI, vol. 7(1), pages 1-22, February.
    17. Núria Bautista-Puig & Jorge Mañana-Rodríguez & Antonio Eleazar Serrano-López, 2021. "Role taxonomy of green and sustainable science and technology journals: exportation, importation, specialization and interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3871-3892, May.
    18. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    19. Stephen Pinfield & Christine Middleton, 2016. "Researchers’ Adoption of an Institutional Central Fund for Open-Access Article-Processing Charges," SAGE Open, , vol. 6(1), pages 21582440156, January.
    20. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.

    More about this item

    Keywords

    Open access; YERUN network; Bibliometric analysis; Document analysis;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:125:y:2020:i:3:d:10.1007_s11192-020-03705-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.