首页> 外文期刊>Journal of eScience Librarianship >Data Curation for Big Interdisciplinary Science: The Pulley Ridge Experience
【24h】

Data Curation for Big Interdisciplinary Science: The Pulley Ridge Experience

机译:大型跨学科科学的数据管理:滑轮岭经验

获取原文
       

摘要

The curation and preservation of scientific data has long been recognized as an essential activity for the reproducibility of science and the advancement of knowledge. While investment into data curation for specific disciplines and at individual research institutions has advanced the ability to preserve research data products, data curation for big interdisciplinary science remains relatively unexplored terrain. To fill this lacunae, this article presents a case study of the data curation for the National Centers for Coastal Ocean Science (NCCOS) funded project “Understanding Coral Ecosystem Connectivity in the Gulf of Mexico-Pulley Ridge to the Florida Keys” undertaken from 2011 to 2018 by more than 30 researchers at several research institutions. The data curation process is described and a discussion of strengths, weaknesses and lessons learned is presented. Major conclusions from this case study include: the reimplementation of data repository infrastructure builds valuable institutional data curation knowledge but may not meet data curation standards and best practices; data from big interdisciplinary science can be considered as a special collection with the implication that metadata takes the form of a finding aid or catalog of datasets within the larger project context; and there are opportunities for data curators and librarians to synthesize and integrate results across disciplines and to create exhibits as stories that emerge from interdisciplinary big science. The substance of this article is based upon a poster presented at RDAP Summit 2019.
机译:长期以来,策展和保存科学数据一直被认为是科学再现性和知识发展的重要活动。尽管针对特定学科和各个研究机构的数据管理的投资已提高了保存研究数据产品的能力,但针对大型跨学科科学的数据管理仍处于相对未开发的领域。为了填补这一空白,本文提供了一个案例研究,该案例是由美国国家海岸海洋科学中心(NCCOS)资助的项目“了解墨西哥湾-普利山脊与佛罗里达礁群岛的珊瑚生态系统连通性”从2011年至2011年进行的。 2018年,来自多个研究机构的30多位研究人员。描述了数据管理过程,并对优点,缺点和经验教训进行了讨论。该案例研究的主要结论包括:重新实现数据存储库基础结构可建立有价值的机构数据管理知识,但可能不符合数据管理标准和最佳实践;大型跨学科科学的数据可以被视为一个特殊的集合,这意味着元数据在较大的项目环境中采用了发现辅助或数据集目录的形式;数据管理者和图书馆员也有机会综合和整合各个学科的成果,并创造出来自跨学科大科学的故事作为展览。本文的实质内容是基于在RDAP峰会2019上展示的海报。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号