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

这项奖励将资助一个研讨会，该研讨会将把STS社区的主要成员聚集在一起，就数据管理问题进行深入的讨论。会议的需要最初是由国家科学基金会最近实施的一项要求推动的；现在要求每个研究提案都有一个适当充分的数据管理计划。这一要求通常是制定出来的；NSF认识到，有大量的科学研究文化，具有不同的数据管理实践。此外，这许多这样的文化(包括STS)以截然不同的方式处理相关的数据管理问题。问题包括数据的构成，以及应如何确定数据的特征、格式化、安全地存储数据并使其广泛可供他人重复使用，同时还解决了对隐私的关切以及有时仅授予有限访问权限的需要。讲习班的重点将是阐明当前的需要，以及为在科学、技术和创新领域制定有效的数据管理原则和程序而提出的对策和解决办法。讲习班组织者有四个不同的目标：(1)为科技服务不同领域的各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，重点放在当前和未来的需要以及现有和可能的解决方案(包括模板)上；该报告将在亚利桑那州立大学现有的安全、开放获取的储存库中广泛提供。此外，他们还将编写两份白皮书。一份白皮书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。另一份白皮书将概述只有在社区建立强大的数据管理战略的情况下才有可能开展计算工作的机会；它将概述未来的战略，以便利用以可获得和可访问的数据为基础的各种STS领域的计算工作机会。白皮书将讨论STS领域如何实施数据驱动的科学战略，并将考虑这样做会带来什么好处。

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.