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      A framework for systematic analysis of Open Access journals and its application in software engineering and information systems

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          Abstract

          This article is a contribution towards an understanding of Open Access (OA) publishing. It proposes an analysis framework of 18 core attributes, divided into the areas of Bibliographic information, Activity metrics, Economics, Accessibility, and Predatory issues of OA journals. The framework has been employed in a systematic analysis of 30 OA journals in software engineering (SE) and information systems (IS), which were selected among 386 OA journals in Computer Science from the Directory of OA Journals. An analysis is performed on the sample of the journals, to provide an overview of the current situation of OA journals in the fields of SE and IS. The journals are then compared between-group, according to the presence of a publication fee. A within-group analysis is performed on the journals requesting publication charges to authors, in order to understand what is the value added according to different price ranges. This article offers several contributions. It presents an overview of OA definitions and models. It provides an analysis framework born from the observation of data and the literature. It raises the need to study OA in the fields of SE and IS while offering a first analysis. Finally, it provides recommendations to readers of OA journals. This paper highlights several concerns still threatening OA publishing in the fields of SE and IS. Among them, it is shown that high publication fees are not sufficiently justified by the publishers, which often lack transparency and may prevent authors from adopting OA.

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          Most cited references 40

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          Why the impact factor of journals should not be used for evaluating research.

           Per Seglen (1997)
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            Who's afraid of peer review?

             John Bohannon (2013)
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              Predatory publishers are corrupting open access.

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                Author and article information

                Journal
                12 August 2013
                2014-04-08
                Article
                10.1007/s11192-014-1278-7
                1308.2597

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                Custom metadata
                This is a self-archived post-print (accepted version) of the article, published in Scientometrics at http://dx.doi.org/10.1007/s11192-014-1278-7. 37 pages, 3 figures, 5 tables
                cs.DL cs.CY cs.SE

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