NSF Workshop on Knowledge Management and Visualization Tools in Support of Discovery

NSF 知识管理和可视化工具支持发现研讨会

• 批准号: 0750993
• 负责人: Katy Borner
• 金额: $ 4.95万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0750993&HistoricalAwards=false
• 关键词: NSF; Workshop; Knowledge; Management; Visualization

Today, mankind's scholarly knowledge is stored in millions of papers that are often not the best format to keep track of scientific results, in 10,000s of databases that are rarely interlinked, 1,000s of software repositories with no central search facility, and of course in experts heads distributed around the globe and across the landscape of science. Many scientific projects and experiments require access not only to results published in papers but also to the raw or processed data used, the services/algorithms/tools applied, the people which performed the work as the paper might not report results in a way that the experiment can be re-run, or new data can be analyzed using the same tools, or all experts familiar with a dataset/algorithm can be retrieved, etc. The proposed workshop aims to identify the general features of cyber-enabled knowledge management tools in support of discovery. Specifically, the focus is on two major challenges: * How to better capture and interlink scientific data, algorithms, publications, and expertise? * How to improve access, navigation, understanding, and discovery by means of visual interfaces to digital resources such as scientific data, algorithms, publications, and expertise?The two challenges and potential solutions will be discussed in detail using two application domains of major economic and societal importance: science of science studies and biomedical research. The two-day workshop will bring together about 20 leading US and international experts in databases, digital libraries, cyberinfrastructure/e-Science design, social science of cyberinfrastructure, as well as practitioners in the areas of science of science studies and biology. The goal of the workshop is to identify high impact research directions, technological opportunities, synergistic collaborations across disciplines and application domains towards more effective knowledge management and visualization tools that will support discovery and innovation. Workshop Web site (http://vw.indiana.edu/cdi2008) provides relevant material and will be used for disseminating the resulting workshop report.

今天，人类的学术知识存储在数以百万计的论文中，这些论文往往不是跟踪科学成果的最佳格式，存储在10，000个很少互连的数据库中，存储在1，000个没有中央搜索设施的软件库中，当然还有分布在地球仪和科学景观中的专家。许多科学项目和实验不仅需要访问论文中发表的结果，还需要访问所使用的原始或处理数据，应用的服务/算法/工具，执行工作的人，因为论文可能不会以可以重新运行实验的方式报告结果，或者可以使用相同的工具分析新数据，或者可以检索熟悉数据集/算法的所有专家，拟议的讲习班旨在确定支持发现的网络知识管理工具的一般特征。具体来说，重点是两个主要挑战：* 如何更好地捕获和链接科学数据，算法，出版物和专业知识？* 如何通过对数字资源（如科学数据、算法、出版物和专业知识）的可视化界面来改善访问、导航、理解和发现？这两个挑战和潜在的解决方案将详细讨论使用两个应用领域的主要经济和社会的重要性：科学研究和生物医学研究的科学。为期两天的研讨会将汇集约20名美国和国际领先的数据库，数字图书馆，网络基础设施/电子科学设计，网络基础设施的社会科学专家，以及科学研究和生物学领域的从业者。研讨会的目标是确定高影响力的研究方向，技术机会，跨学科和应用领域的协同合作，以实现更有效的知识管理和可视化工具，以支持发现和创新。研讨会网站（http：//vw.indiana.edu/cdi2008）提供相关材料，并将用于传播研讨会报告。