Although recording of usage data is common in scholarly information services, its exploitation for the creation of value-added services remains limited due to concerns regarding, among others, user privacy, data validity, and the lack of accepted standards for the representation, sharing and aggregation of usage data. This paper presents a technical, standards-based architecture for sharing usage information, which we have designed and implemented. In this architecture, OpenURL-compliant linking servers aggregate usage information of a specific user community as it navigates the distributed information environment that it has access to. This usage information is made OAI-PMH harvestable so that usage information exposed by many linking servers can be aggregated to facilitate the creation of value-added services with a reach beyond that of a single community or a single information service. This paper also discusses issues that were encountered when implementing the proposed approach, and it presents preliminary results obtained from analyzing a usage data set containing about 3,500,000 requests aggregated by a federation of linking servers at the California State University system over a 20 month period.
Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics
本文分析了预印本促进学术交流的关键驱动因素。为此，我们使用了四组指标，一组指的是学术交流，并基于文献计量指标（Web of Science和Scopus引文），而其他指标反映了使用（Web of Science中的使用计数），捕获（Mendeley读者）和社交媒体关注（推文）。因此，我们衡量两个影响与预印本出版：出版延迟和影响。我们定义并使用几个指标来评估arXiv中先前预印本版本的期刊文章的影响。特别是，这些指标衡量了几次arXiv预印本出版过程和期刊版本审查过程的特点，以及预印本引用的老化模式。此外，我们比较了在arXiv中没有任何先前预印本版本的预印本和非OA文章之间观察到的模式。我们可以观察到，预印本的“早期浏览”和“开放获取”效应有助于预印本的可衡量的引用和读者优势。预印版本的文章更有可能在社交媒体中被提及，并且具有更短的Altmetric注意延迟。使用和捕获被证明只有适度的，但更强的相关性与引用比推文。不同指标之间回归线的斜率不同，反映了使用、获取和引用数据的数量级不同。
Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards
School of Information Sciences, University of Illinois Urbana–Champaign（伊利诺伊大学厄巴纳-香槟分校信息科学学院）；School of Information, University of Michigan - Ann Arbor（密歇根大学安娜堡分校信息学院）；School of Social Sciences and Technology, Technical University of Munich（慕尼黑工业大学社会科学与技术学院）
