Community Track DCL 18-060: Exploring Roles of Universities, Data Centers, Data Repositories and Publishers in Data Re-Use

社区轨道 DCL 18-060：探索大学、数据中心、数据存储库和出版商在数据重用中的作用

• 批准号: 1838572
• 负责人: Richard Hooper
• 金额: $ 5万
• 依托单位: Tufts University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1838572&HistoricalAwards=false
• 关键词: Community; Track; DCL; 18; 060

Scientists are faced with an ever increasing array of options for data publication and a growing set of requirements to meet grant and journal directives. General purpose data repositories, data archives with journals or university libraries, domain-specific data repositories or broader project management and collaborative environments that provide some data publication services (e.g., issuing DOIs) are just a few of the options available. How should scientists choose among these options? How effective are these alternatives in meeting the multiple objectives for data publication, including discoverability, recording of sufficient metadata for reliable re-use, reproducibility of scientific results, convenience for data provider, and persistence. The investigator proposes to organize a workshop that brings together key stakeholders in data reuse. The workshop targets research carried out in the geosciences and is an activity connected with the South Big Data Regional Innovation Hub.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

科学家们面临着越来越多的数据出版选择和越来越多的要求，以满足赠款和期刊指令。通用数据存储库、期刊或大学图书馆的数据存档、特定领域的数据存储库或提供某些数据发布服务的更广泛的项目管理和协作环境（例如，发行DOI）只是可用选项中的几个。科学家应该如何在这些选择中做出选择？这些替代方案在满足数据公布的多重目标方面的有效性如何，这些目标包括可重复性、记录足够的元数据以供可靠地重复使用、科学结果的可重复性、数据提供者的便利性以及持久性。调查员建议组织一次讲习班，将数据再利用方面的主要利益攸关方聚集在一起。 该研讨会的目标是在地球科学领域开展的研究，是与南方大数据区域创新中心相关的活动。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。