论文标题
了解德国大学景观中OA吸收的差异(2010-2020)。第1部分:基于期刊的OA
Understanding differences of the OA uptake within the German university landscape (2010-2020). Part 1: journal-based OA
论文作者
论文摘要
这项研究调查了在德国大学景观中吸收全面和混合开放访问(OA)的决定因素。它适应了治理均衡器作为此目的的启发式,并区分了三个因素:纪律处分(学术自治),旨在支持OA(管理自治)和大型变革性协议(国家法规的一部分)的大学的基础设施和服务。 OA的吸收,大学的纪律概况的影响以及变革性协议的影响是通过组合多个数据源(包括科学的Web,UndayWall,标准化的德国隶属关系信息,ISSN-GOLD-OA 4.0列表的授权文件,以及由变革性协议涵盖的出版物列表)。对于管理自治,通过收集不同的信息来源和手动在线搜索来创建结构化数据收集。为了确定不同因素的解释能力,在不同的时期和全杂交OA进行了一系列回归分析。由于回归分析,解释两种OA类型的吸收差异的最确定因素被证明是学术自治。在2020年,混合OA变革协议已成为第二个相关因素。但是,所有反映了OA(管理自治)本地基础设施支持和服务的所有变量都不显着。为了加深对OA在机构水平上采用的理解,与20个OA的德国大学官员进行的访谈研究对回归分析的结果进行了背景。
This study investigates the determinants for the uptake of Full and Hybrid Open Access (OA) in the university landscape of Germany. It adapts the governance equaliser as a heuristic for this purpose and distinguishes between three factors: The disciplinary profile (academic self-governance), infrastructures and services of universities that aim to support OA (managerial self-governance) and large transformative agreements (part of state regulation). The uptake of OA, the influence of the disciplinary profile of universities and the influence of transformative agreements is measured by combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 4.0 list, and lists of publications covered by transformative agreements). For managerial self-governance, a structured data collection was created by harvesting different sources of information and by manual online search. To determine the explanatory power of the different factors, a series of regression analyses was performed for different periods and for both Full as well as Hybrid OA. As a result of the regression analyses, the most determining factor for the explanation of differences in the uptake of both OA-types turned out to be academic self-governance. For the year 2020, Hybrid OA transformative agreements have become a second relevant factor. However, all variables that reflect local infrastructural support and services for OA (managerial self-governance) turned out to be non-significant. To deepen the understanding of the adoption of OA on the level of institutions, the outcomes of the regression analyses are contextualised by an interview study conducted with 20 OA officers of German universities.