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

该项目旨在与NSF支持的科学和工程界的代表进行积极的对话，旨在使NSF资助的科学研究成果公开。具有广泛专业知识的科学家将聚集在一起参加一个研讨会，讨论在以前的特定领域研讨会中吸取的经验教训，确定科学和工程界关于知识保存和开放获取的共同需求，并提出将促进广泛的公众获取数据的可能需求。后者预计将依赖于学科，但是促进社区之间的对话是必要的，以便确定有效的做法和具有成本效益的解决办法，以满足社区的需要，并帮助为公众广泛获取科学数据的世界铺平道路。使研究数据广泛可用，使科学事业向公民科学家和其他研究人员开放，并增强发现的潜力。认识到从数字时代到大数据时代的过渡也提供了公开各种科学调查的研究数据所需的技术手段，本次研讨会将在开发一个框架方面发挥重要作用，通过该框架可以实现公众访问。通过将不同学科的项目和基础设施结合起来，预计将实现规模经济。因此，这项工作将通过强调档案系统设计中的数据集和元数据互操作性来确定跨学科研究的新机会。

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.