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

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最近实现的需求驱动的；每个研究计划现在都需要有一个适当的数据管理计划。要求是一般制定的；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，这些文化（包括STS）以非常不同的方式处理相关的数据管理问题。问题包括什么构成数据，以及数据应该如何表征、格式化、安全存储和广泛访问以供其他人重用，同时还要解决隐私问题和有时只授予有限访问的需求。讲习班将集中说明目前的需要，以及拟议的反应和解决办法，以便在STS领域制订有效的数据管理原则和程序。研讨会组织者有四个不同的目标：(1)为STS不同领域的单个项目生成数据管理计划的临时模板。(2)编写一份讲习班报告，总结讨论，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、开放的知识库中广泛提供。此外，他们还将发表两份白皮书。一份白皮书(3)将通过专业协会分发给STS社区的成员和其他研究社区，以征求意见，并努力达成对基础设施需求的共同理解。另一份白皮书将(4)概述计算工作的机会，只有社区建立健全的数据管理策略，计算工作才有可能实现；它将概述未来的战略，以利用基于现有和可获得数据的不同STS领域所代表的计算工作的机会。白皮书将讨论STS领域如何实施数据驱动科学战略，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.