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Self Archiving in Atılım University

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E-Science and Information Management (IMCW 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 317))

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Abstract

Self archiving is defined as storing the scientific research outputs in researchers’ own web pages/sites, organizational web sites or institutional repositories. In this study the self archiving activities of academicians of Atılım University are investigated. For the purpose of the study the web pages of the university, personal web pages of the academicians and open repository of the university are explored. We found the details of 2176 academic activities of the instructors in web pages. More than half of these activities (1147 - 53%) consist of refereed journal papers. Almost a quarter of the instructors saved their research outputs in the university’s open repository. Yet, those instructors have not published their works in their personal web pages or institutional web pages. Only 4% of the works are published in personal/organizational web pages. According to the results obtained, the usage of institutional repository is the common self archiving method in the Atılım University. On the other hand, the personal/organizational web pages should be as a point of attraction in self archiving. While discussing the efficient usage of the institutional repository, we suggest that the social networks as a meeting point should include links to personal/institutional web pages containing academicians’ papers.

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Ertürk, K.L., Şengül, G. (2012). Self Archiving in Atılım University. In: Kurbanoğlu, S., Al, U., Erdoğan, P.L., Tonta, Y., Uçak, N. (eds) E-Science and Information Management. IMCW 2012. Communications in Computer and Information Science, vol 317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33299-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-33299-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33298-2

  • Online ISBN: 978-3-642-33299-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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