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Title: Research Data of the 2014 Census of Open Access Repositories in Germany, Austria and Switzerland

Type Dataset Vierkant, Paul, Kindling, Maxi, Zielke, Dennis, Burger, Marleen, Lepke, Anne, Maluck, Thomas, Rücknagel, Jessika, Theileis, Lisa, van de Sandt, Stephanie, Summann, Friedrich (2014): Research Data of the 2014 Census of Open Access Repositories in Germany, Austria and Switzerland. Zenodo. Dataset. https://zenodo.org/record/10734

Authors: Vierkant, Paul (Humboldt-Universität zu Berlin) ; Kindling, Maxi (Humboldt-Universität zu Berlin) ; Zielke, Dennis (Humboldt-Universität zu Berlin) ; Burger, Marleen (Humboldt-Universität zu Berlin) ; Lepke, Anne (Humboldt-Universität zu Berlin) ; Maluck, Thomas (Humboldt-Universität zu Berlin) ; Rücknagel, Jessika (Humboldt-Universität zu Berlin) ; Theileis, Lisa (Humboldt-Universität zu Berlin) ; van de Sandt, Stephanie (Humboldt-Universität zu Berlin) ; Summann, Friedrich (Universität Bielefeld) ;

Links

Summary

The "2014 Census of Open Access Repositories in Germany, Austria and Switzerland” (2014 Census) is a study on the green open access landscape conducted in the course of a project seminar at the Berlin School of Library and Information Science (BSLIS) at Humboldt-Universität zu Berlin. The 2014 Census not only succeeds the "2012 Census of Open Access Repositories in Germany"[1] but enhances it by adding an online survey to the qualitative analysis of the open access repository websites and the automatic validation of its metadata. Like in 2012 the 2014 Census gives insights into the development of open access repositories and current trends in repository design being of substantial use to open access repository operators.

This 2014 Census data set represents the data collected in three different ways:

qualitative analysis of the open access repository websites automatic validation of the metadata via OAI-PMH using the DINI-Validator [2]  online survey of repository operators

As in 2012 [3] the data set is provided in XLSX as well as in CSV format. The columns represent the criteria and the rows represent the analyzed open access repositories. In the XLSX file the header row gives the definition of each criterion in English and German. In the CSV "content" file the header row is in English short terms. The respective English and German definition can be found in the CSV "readme" file.

 

[1] Vierkant, P. (2013). 2012 Census of Open Access Repositories in Germany: Turning Perceived Knowledge Into Sound Understanding. D-Lib Magazine, 19. http://dx.doi.org/10.1045/november2013-vierkant 

[2] http://oanet.cms.hu-berlin.de/validator/pages/validation_dini.xhtml

[3] Vierkant, Paul; Voigt, Michaela; Dupski, Jens; David, Sammy; Lösch, Mathias (2013): 2012 Census of Open Access Repositories in Germany. figshare.  http://dx.doi.org/10.6084/m9.figshare.677099

More information

  • DOI: 10.5281/zenodo.10734

Subjects

  • open access, open access repository, census, Germany, Austria, Switzerland, publications

Dates

  • Publication date: 2014
  • Issued: July 02, 2014

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

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