five

Database for processed files in investigating open access in translation and interpreting studies

收藏
DataCite Commons2025-12-27 更新2026-04-25 收录
下载链接:
https://figshare.com/articles/dataset/Database_for_processed_files_in_investigating_open_access_in_translation_and_interpreting_studies/30958103/1
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset is comprised of various subsets, figures and other materials used for the bibliometric analysis of open access in translation and interpreting studies. The items are lists with an explanation below:<i>Item A. Bibliographic information of TIS journals.xlsx</i>, a catalog of OA and TA publications used in this study, retrieved and adapted from BITRA, along with their bibliographic information.<i>Item B. Bibliometric information of gold OA articles in hybrid access journals published by commercial publishers.xlsx</i>, documents the gold OA articles which are missing from BITRA's OA label.<i>Item C. Zero-citation negative binomial model for detecting OACA effect in TIS publications.dta</i>, processed file containing access type, document type, research topic, and citation information of entries for analysis in STATA.<i>Item D/F/H/I. </i><i>Diachronic trends of OA volume/OA ratio by research topic/OA ratio by document type/OA journal ratio by publisher type</i><i> in the Web era.pdf</i>, visual outputs depicting the distribution of OA in the Web era.<i>Item E. Pearson’s correlation between the annual number of OA articles published in The Bible Translator (1950–2024) and the annual OA rate in the religious translation category.xlsx</i>, data and parameters used to analyze the correlation between fluctuations in OA publishing and other variations.<i>Item G. Pearson’s correlation between the annual rise in OA publication rates for journal articles and the growing number of new OA journals (1997–2020).xlsx</i>, serves the same function as in Item E.<i>Item J. Diachronic changes of the OA and TA authorship in the Web era.pdf</i>, maps the number of authors and the (5% trimmed) mean publications per author for both OA and TA authors in the Web era.<br>
提供机构:
figshare
创建时间:
2025-12-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作