Title: Linking Data Citation to Repository Visibility: An Empirical Study Show Chinese title

Title: 链接数据引用与存储库可见性：一项实证研究

Abstract: In today's data-driven research landscape, dataset visibility and accessibility play a crucial role in advancing scientific knowledge. At the same time, data citation is essential for maintaining academic integrity, acknowledging contributions, validating research outcomes, and fostering scientific reproducibility. As a critical link, it connects scholarly publications with the datasets that drive scientific progress. This study investigates whether repository visibility influences data citation rates. We hypothesize that repositories with higher visibility, as measured by search engine metrics, are associated with increased dataset citations. Using OpenAlex data and repository impact indicators (including the visibility index from Sistrix, the h-index of repositories, and citation metrics such as mean and median citations), we analyze datasets in Social Sciences and Economics to explore their relationship. Our findings suggest that datasets hosted on more visible web domains tend to receive more citations, with a positive correlation observed between web domain visibility and dataset citation counts, particularly for datasets with at least one citation. However, when analyzing domain-level citation metrics, such as the h-index, mean, and median citations, the correlations are inconsistent and weaker. While higher visibility domains tend to host datasets with greater citation impact, the distribution of citations across datasets varies significantly. These results suggest that while visibility plays a role in increasing citation counts, it is not the sole factor influencing dataset citation impact. Other elements, such as dataset quality, research trends, and disciplinary norms, can also contribute to citation patterns. Show Chinese abstract

Abstract: 在当今以数据驱动的研究环境中，数据集的可见性和可访问性在推动科学发展方面发挥着至关重要的作用。同时，数据引用对于维护学术诚信、认可贡献、验证研究结果以及促进科学研究的可重复性至关重要。作为关键环节之一，它将学术出版物与推动科学进步的数据集联系起来。 本研究调查了存储库的可见性是否会影响数据引用率。我们假设，根据搜索引擎指标衡量具有更高可见性的存储库与更高的数据集引用相关联。利用OpenAlex数据和存储库影响指标（包括来自Sistrix的可见性指数、存储库的h指数以及诸如平均和中位数引用次数之类的引用指标），我们分析社会科学和经济学中的数据集以探索它们之间的关系。 我们的研究结果显示，托管在更可见的网络域上的数据集往往获得更多的引用，且在网络域可见性和数据集引用计数之间观察到正相关，尤其是在至少有一个引用的数据集上。然而，在分析域级引用指标（如h指数、平均引用和中位数引用）时，相关性不一致且较弱。虽然高可见度域倾向于托管具有更大引用影响的数据集，但跨数据集的引用分布差异显著。 这些结果表明，尽管可见性在增加引用数量方面起作用，但它并不是影响数据集引用影响的唯一因素。其他因素，如数据集质量、研究趋势和学科规范，也可能影响引用模式。