基于网络基础设施的协作网络在支持协作能力中的作用

Jian Qin, Jeff J Hemsley, Sarah E. Bratt
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引用次数: 1

摘要

本文研究了不断发展的网络基础设施(CI)支持的协作网络对科学能力和知识扩散的增量影响。虽然大量的研究表明,协作有助于提高生产力、提高科学产出的质量,并增加突破的可能性,但尚不清楚数据创建方面的早期协作如何支持知识的生成和传播。此外,获取更多投入的能力是否会增加协作能力,从而加速知识扩散的速度,这一点尚不清楚。鉴于科学团队的协作能力在很大程度上取决于科技人力资本,研究人员的科技人力资本越大,合作和获取资源的机会就越大。我们用“协作能力”来指代科技人力资本的度量。在本研究中,我们收集了GenBank中1990-2013年分子序列的元数据。数据包含有关序列、提交日期、提交者以及相关出版物和作者的详细信息。基于协作能力框架(图1),我们关注协作网络规模和研究生产力之间的关系,以及ci支持的数据存储库在加速协作能力方面的作用。我们的初步结果表明,在数据创建阶段,ci支持的协作网络的规模与研究生产力(以序列数据产生衡量)和知识扩散的程度和速度(以专利申请为代表)呈正相关。数据提交和专利申请之间的时间差距不断缩小,这支持了一个假设,即启用cid的数据存储库是增加协作能力的一个加速因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Cyberinfrastructure-Enabled Collaboration Networks in Supporting Collaboration Capacity
This paper reports a study of the incremental impact of evolving cyberinfrastructure (CI) enabled collaboration networks on scientific capacity and knowledge diffusion. While ample research shows how collaboration contributes to greater productivity, higher-quality scientific outputs, and increased probability of breakthroughs, it is unclear how the early stages of collaboration on data creation supports knowledge generation and diffusion. Further, it is not known whether the ability to garner larger inputs increases collaboration capacity and subsequently accelerates the rate of knowledge diffusion. Given that the collaboration capacity of a science team is largely dependent upon the Scientific and Technical (S&T) Human Capital , the greater a researcher’s S&T human capital, the greater the opportunity to collaborate and access resources. We use “Collaboration Capacity” to refer to this measure of S&T human capital. In this study, we collected metadata for molecular sequences in GenBank from 1990-2013. The data contain details about sequences, submission date, submitter(s), and associated publications and authors. Based on the collaboration capacity framework (Figure 1), we focused on the relationship between collaboration network size and research productivity and the role of CI-enabled data repositories in accelerating collaboration capacity. Our preliminary results show that the size of CI-enabled collaboration networks at data creation stage was positively related to research productivity as measured by sequence data production, and the extent and rate of knowledge diffusion, represented by patent applications. Shrinking time gaps between data submissions and patent applications support the hypothesis that CIenabled data repositories are an accelerating factor in incremental collaboration capacity.
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