协作网络和职业发展轨迹:数据仓库的元数据告诉我们什么?
Hemsley Jeff1, Qin Jian1, Bratt Sarah1
1Syracuse University, USA.
概括
科学家 科学家 科学家
科学领域:
- 科学的科学科学科学科学的科学.
- 图书统计学 图书统计学
- 网络科学 网络科学
背景情况:
- 科学合作对于汇集专业知识和推进研究至关重要.
- 了解影响科学家形成新合作能力的因素对于职业发展和研究生产力至关重要.
研究的目的:
- 识别有助于科学家协作能力的关键因素.
- 引入和经验验证一个新的框架来衡量协作能力.
主要方法:
- 利用来自GenBank的纵向网络数据,这是一个支持网络基础设施的数据库.
- 建立年度科学合作地图以分析网络动态.
- 与早期职业生涯网络位置和生产力趋势相关的测试假设.
主要成果:
- 一个科学家的早期网络地位显著预测了他们未来的协作能力.
- 提高研究生产率与更高的协作能力有积极的关联.
- 该研究为拟议的协作能力框架提供了初步的经验支持.
结论:
- 协作能力受到早期职业生涯网络集成和持续生产力的影响.
- 开发的框架为了解和量化科学家合作潜力提供了一种新的方法.
- 通过提供可衡量的研究协作动态的见解,研究结果为科学科学领域做出贡献.
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