Studying the data practices of a scientific community
Studying the data practices of a scientific community
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研究科学界的数据实践
DOI：
10.1145/2467696.2467781
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
P. Marty
中科院分区：
文献类型：
--
作者：
Besiki Stvilia;C. Hinnant;Shuheng Wu;Adam Worrall;Dong Joon Lee;Kathleen Burnett;G. Burnett;Michelle M. Kazmer;P. Marty
为了既有效又可持续，社区数据管理模型必须与社区当前的工作组织保持一致：实践和活动；分工；数据和协作关系；以及社区的价值结构、规范和数据、质量评估和数据共享的约定。这张海报讨论了一个开发社区数据管理模型的框架，使用了一个聚集在国家高磁场实验室(一个大型国家实验室)周围的科学社区的案例。海报还报告了基于对社区主要利益相关者群体的样本的半结构化访谈的初步研究结果。
To be effective and at the same time sustainable, a community data curation model has to be aligned with the community's current work organization: practices and activities; divisions of labor; data and collaborative relationships; and the community's value structure, norms, and conventions for data, quality assessment, and data sharing. This poster discusses a framework for developing a community data curation model, using a case of the scientific community gathered around the National High Magnetic Field Laboratory, a large national lab. The poster also reports findings of preliminary research based on semi-structured interviews with a sample of the main stakeholder groups of the community.