Collaboration Networks and Career Trajectories: What Do Metadata from Data Repositories Tell Us?
Collaboration Networks and Career Trajectories: What Do Metadata from Data Repositories Tell Us?
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协作网络和职业轨迹：数据存储库中的元数据告诉我们什么？
DOI：
10.1002/pra2.608
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Alexander,Smith
中科院分区：
文献类型：
--
作者：
Jeff,Hemsley;Jian,Qin;Sarah,Bratt;Alexander,Smith
科学越来越多地通过科学合作进行，使研究人员能够汇集他们的经验、知识和技能。在这项工作中，我们确定了与科学家的协作能力相关的因素，他们在职业生涯中积累新合作的能力。为此，需要提供一个新的协作能力框架，并开始通过测试一些假设来进行实证验证。我们使用来自 GenBank 的数据，GenBank 是一个支持网络基础设施 (CI) 的数据存储库，用于存储和管理科学数据。这些数据使我们能够构建纵向网络，从而为我们提供年度科学合作地图。我们发现，科学家早期的网络地位与其建立新合作的能力有关，而生产力呈上升趋势的研究人员往往具有更高的合作能力。我们的工作通过提供协作能力框架并为其提供部分实证支持，为科学研究的科学做出了贡献。
Science is increasingly carried out through scientific collaborations, allowing researchers pool their experience, knowledge, and skills. In this work we identify factors related to a scientist’s collaboration capacity, their ability accumulate new collaborations over their career. To do this offer a new collaboration capacity framework and begin the work of validating it empirically by testing a number of hypotheses. We use data from GenBank, a cyberinfrastructure (CI)‐enabled data repository that stores and manages scientific data. The data allow us to construct longitudinal networks, thereby giving us yearly scientific collaboration maps. We find that a scientist’s network position at an early stage is related to their capacity to build new collaborations and that researchers who manage an upward trend in productivity tend to have higher collaboration capacity. Our work makes a contribution to science of science studies by offering a collaboration capacity framework and providing partial empirical support for it.