The structural shift and collaboration capacity in GenBank Networks: A longitudinal study.
The structural shift and collaboration capacity in GenBank Networks: A longitudinal study.
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DOI：
10.1162/qss_a_00181
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发表时间：
2022
影响因子：
6.4
通讯作者：
中科院分区：
文献类型：
--
作者：
GenBank 等科学数据存储库中的元数据包含数据提交和相关出版物之间的链接。作为研究协作网络的新数据源，数据存储库中的元数据弥补了基于出版物的协作网络研究的局限性。本文报告了 GenBank 元数据分析项目的发现。我们使用网络科学方法揭示了 1992 年至 2018 年 GenBank 协作网络的结构和动态。这种数据收集的纵向性和大规模使我们能够揭示协作网络的演变历史，并确定网络结构随时间的扁平化趋势以及用于增强协作能力的最佳分类混合范围。通过将数据生产阶段的元数据与发布阶段的元数据相结合，我们发现了协作网络的新特征，并开发了新的指标来评估协作推动因素（科学和技术人力资本、网络基础设施和科学政策）的有效性。
Metadata in scientific data repositories such as GenBank contain links between data submissions and related publications. As a new data source for studying collaboration networks, metadata in data repositories compensate for the limitations of publication-based research on collaboration networks. This paper reports the findings from a GenBank metadata analytics project. We used network science methods to uncover the structures and dynamics of GenBank collaboration networks from 1992–2018. The longitudinality and large scale of this data collection allowed us to unravel the evolution history of collaboration networks and identify the trend of flattening network structures over time and optimal assortative mixing range for enhancing collaboration capacity. By incorporating metadata from the data production stage with the publication stage, we uncovered new characteristics of collaboration networks as well as developed new metrics for assessing the effectiveness of enablers of collaboration—scientific and technical human capital, cyberinfrastructure, and science policy.