Collaborative Research: Proposal for an NSF-Wide Workshop to Explore the Prospects for a Common Response to the Requirements for Public Access to Research Data

该项目旨在使国家科学基金会支持的科学界和工程界的代表积极参与对话，目的是使国家科学基金会赞助的科学研究成果公之于众。具有广泛专业知识的科学家将齐聚一堂，举办一次讲习班，讨论在以前的特定领域讲习班中吸取的经验教训，确定科学界和工程界在知识保存和开放获取方面的共同需求，并提出可能的要求，以促进公众更广泛地获取数据。后者预计将依赖于纪律，但促进社区之间的对话是必要的，以便确定有效的做法和成本效益高的解决方案，以满足社区的需求，并帮助铺平道路，使公众能够广泛获得科学数据。广泛提供研究数据向公民科学家和其他研究人员开放了科学事业，并增强了发现的潜力。认识到从数字时代向大数据时代的过渡也提供了公开来自各种科学调查的研究数据所需的技术手段，因此，这次讲习班将在制定一个框架方面发挥重要作用，通过这个框架可以实现公众获取。通过将不同学科的项目和基础设施结合起来，预计将产生规模经济。因此，这项努力将通过强调档案系统设计中的数据集和元数据互操作性，为跨学科研究确定新的机会。

This project seeks to engage representatives of the scientific and engineering communities supported by NSF into an active dialogue aimed at making publicly available the results of scientific research sponsored by NSF. Scientists with a broad variety of expertise will come together for a workshop to discuss the lessons learned in previous domain-specific workshops, identify common needs regarding knowledge preservation and open access for the scientific and engineering communities, and suggest possible requirements that will promote broad public access to data. The latter are expected to be discipline dependent, but promoting a dialogue between communities is necessary in order to identify effective practices and cost-effective solutions to serve the community needs and to help pave the way to a world with broad public access to scientific data. Making research data broadly available opens the scientific enterprise to citizen scientists and other researchers and enhances the potential for discovery. Recognizing that the transition from the Digital Age to the Big Data Age provides also the technical means needed to make public the research data from a wide variety of scientific inquiries, this workshop will play an import role towards the development of a framework by which public access can be accomplished. Economies of scale are expected by combining projects and infrastructure across various disciplines. As such, this effort will identify new opportunities for cross-disciplinary research by emphasizing the dataset and metadata interoperability in the design of archival systems.