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

机译:DML语料库中自我存档的进展,以社区动态为视角

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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 LATEX 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.
机译:自存档已发展成为在DML框架内实现开放访问的关键组件,而arXiv是迄今为止使用最广泛的平台。公开的LATEX信息源为诸如全文本公式搜索之类的重要功能提供了便利。但是,尽管arXiv语料库有了明显的增长,但尚不清楚以这种方式可以公开获取已发表的数学文献中的什么份额,以及最终是否可以收敛到全部报道。我们向arXiv介绍了zbMATH语料库(包括自1868年以来的大多数已发表数学文献)匹配过程的方法,并从粒状zbMATH数据中得出了对不同数学社区中自存档进度的详细分析,考虑到主题细节,出版延迟,同行评审政策和作者网络等。在此基础上,我们对未来的发展做出了一些预测。

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