生态学数据基础设施的增量增长 (1980-2020年)
Karen S Baker1, Florence Millerand2
1Department of Information Sciences University of Illinois, Urbana-Champaign Urbana Illinois USA.
Ecology and evolution
|December 12, 2024
概括
经过数十年的演变,生态研究社区的数据系统被转化为国家数据基础设施. 本研究详细介绍了一种增量增长模型,强调开放科学和数据管理的社区驱动的发展.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 数据科学数据科学数据科学
- 信息科学 信息科学 信息科学
背景情况:
- 研究社区越来越多地依赖于强大的数据基础设施,用于开放科学和开放数据倡议.
- 传统的自上而下的方法通常是数字基础设施发展的特征.
- 长期生态研究社区在管理地理分散的数据方面面临着独特的挑战.
研究的目的:
- 描述社区网络信息系统转化为国家数据基础设施的过程.
- 介绍和解释数据基础设施发展的增量增长模型.
- 分析推动这种演变的社会,技术和制度动态.
主要方法:
- 在四十年的时间里,一个协作生态研究社区的纵向民族学.
- 分析社区的网络信息系统和数据库演变.
- 识别关键事件和系统成长中的不同阶段.
主要成果:
- 该系统从一个社区资源演变为一个国家数据管理办公室和关键数据基础设施.
- 确定了一个增量增长模型,包括由关键事件启动的六个阶段.
- 在每个阶段,数据管理假设发生了重大转变.
结论:
- 社区驱动的增量增长是一种可行的替代方案,而不是数据基础设施的自上而下的发展.
- 了解数据工作者的阶段和角色,可以了解数字增长的特点.
- 该研究为分析数据基础设施发展的演变和时间提供了一个框架.
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