WORKSHOP: Data Management and Data Sharing Workshop for Science and Technology Studies

研讨会：科学技术研究数据管理和数据共享研讨会

• 批准号: 1430608
• 负责人: Jane Maienschein
• 金额: $ 3.93万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1430608&HistoricalAwards=false
• 关键词: WORKSHOP; Data; Management; Sharing; Workshop

This award will fund a workshop that will bring together key members of the STS community to engage in intensive discussions about data management issues. The need for the meeting is initially driven by a recent requirement implemented by NSF; each research proposal is now required to have a suitably adequate data management plan. The requirement is generally formulated; NSF recognizes that there is a vast array of scientific research cultures with differing practices of data management. Moreover, these many such cultures (including STS) address pertinent data-management issues in widely different ways. Issues include what constitutes data, and how data should be characterized, formatted, securely stored, and made broadly accessible for re-use by others, while also addressing concerns of privacy and the need at times to grant only limited access. The workshop will focus on articulating current needs, as well as proposed responses and solutions, for development of effective data management principles and routines in the STS domain. The workshop organizers have four distinct goals: (1) to generate provisional templates for data management plans for individual projects across the diverse fields of STS. (2) To produce a workshop report that summarizes the discussions with a focus on current and future needs and existing and possible solutions (including the templates); the report will be made broadly available on an existing secure, open-access repository at Arizona State University. In addition, they will produce two white papers. One white paper is (3) to be circulated to members of the STS community and to other research communities through professional societies to solicit input and work toward a shared understanding of infrastructural needs. Another white paper will (4) outline opportunities for computational work that will become possible only if the communities establish robust data management strategies; it will outline future strategies for taking advantage of opportunities for computational work in the diverse STS fields represented that is predicated on available and accessible data. The white papers will address how STS fields can implement strategies of data driven science and will consider what benefits would accrue from doing so.

该奖项将资助一个研讨会，该研讨会将汇集STS社区的主要成员，就数据管理问题进行深入讨论。会议的需要最初是由NSF最近实施的要求驱动的;现在要求每个研究提案都有适当的数据管理计划。这一要求是一般性的; NSF认识到，有大量的科学研究文化与不同的数据管理实践。此外，许多这样的文化（包括STS）以非常不同的方式解决相关的数据管理问题。问题包括什么构成数据，以及数据应如何定性、格式化、安全存储，并使其广泛可供他人重复使用，同时还解决隐私问题，以及有时只允许有限访问的必要性。讲习班将侧重于阐明当前的需求，以及拟议的应对措施和解决方案，以制定STS领域的有效数据管理原则和程序。研讨会的组织者有四个明确的目标：（1）为跨越STS不同领域的单个项目的数据管理计划生成临时模板。(2)编写一份讲习班报告，总结讨论情况，重点是当前和未来的需求以及现有和可能的解决方案（包括模板）;该报告将在亚利桑那州立大学现有的安全、开放式存取存储库上广泛提供。此外，他们还将制作两张白色纸。一份白色文件（3）将通过专业协会分发给STS社区成员和其他研究社区，以征求意见并努力实现对基础设施需求的共同理解。 另一份白色文件将（4）概述只有在社区建立强大的数据管理策略的情况下才有可能进行计算工作的机会;它将概述未来的战略，以利用各种STS领域中基于可用和可访问数据的计算工作机会。这些白色文件将讨论STS领域如何实施数据驱动科学的战略，并将考虑这样做会带来什么好处。