WORKSHOP: The Future of Scientific Knowledge Discovery in the Open Networked Environment

在过去的三十年里，尤其是在过去的十年里，科学知识在网上被发现和公开传播的方式发生了巨大的变化。多种因素推动了这一领域的大规模增长。大量数据和文献的产生，加上处理、存储和通信技术的快速发展和进步，使得在研究过程中使用更多的计算技术和方法成为可能和必要。计算机中介的发现过程正越来越多地被不同的科学界采用和使用，以探索和研究广泛的知识领域，包括所有科学学科。因此，计算科学知识发现正迅速成为虚拟环境中一种新的科学探索形式，建立并补充基于它之前的理论、实验和观察方法的研究。与此同时，许多开放科学的新模式已经被开发出来，这些模式更大地利用了数字网络的能力。当在线整合在一起时，各种类型的开放知识资源正在形成初级阶段的信息？共享？和知识环境，这可以从公共研究投资中获得更多价值。对这一拟议项目特别感兴趣的是，这种机制可以使数字科学知识发现工具和技术得到更有效和有效的应用。对这类过程的机会和障碍有更深入的了解，有可能加快科学研究的进展，支持美国的国家竞争力，并提高信息密集型研究及其应用领域的生产率。对这些问题的更好理解还可以使研究经理和政策制定者能够对研究企业做出更明智的决定，并向政策制定者和公众更清楚地解释对研究和数字技术的公共投资如何促进更广泛的社会经济利益。

The ways in which scientific knowledge is discovered and communicated openly online have changed dramatically over the last three decades, and especially in the last ten years. Multiple factors have contributed to massive growth in this area. The production of vast amounts of data and literature, coupled with the rapid development and advancement of the processing, storage, and communication technologies have made it both possible and necessary to use more computing technologies and methods in the research process. Computer-mediated discovery processes are being increasingly adopted and used by different scientific communities to explore and study a wide range of domains of knowledge, including all scientific disciplines. Computational scientific knowledge discovery is thus rapidly becoming practiced as a new form of scientific inquiry in the virtual environment, building upon and supplementing the research based on theoretical, experimental, and observational methods that preceded it. At the same time, many new models of open science have been developed that take much greater advantage of the capabilities of digital networks. When integrated together online, various types of open knowledge resources are forming incipient information ?commons? and knowledge environments, which can derive more value from the public investments in research. Of particular interest to this proposed project, such mechanisms can enable more efficient and effective applications of digital scientific knowledge discovery tools and techniques. A deeper understanding of the opportunities and barriers to such processes has the potential to accelerate the progress of scientific research, to support U.S. national competitiveness and increased productivity in information-intensive areas of research and its applications. An improved understanding of these issues also can enable research managers and policy makers to make much more informed decisions about the research enterprise, and to explain more clearly to policymakers and to the general public how the public investment in research and digital technologies advances broader socioeconomic interests.