The Science Knowledge and Education Network Building a User Base around Scientific Publications: Editing Online Content and Annotating Scientific Materials

科学知识和教育网络围绕科学出版物建立用户群:编辑在线内容和注释科学材料

基本信息

项目摘要

This project is developing an open-source infrastructure to create a knowledge and education network - a new and powerful application, called a Scientific Knowledge and Education Network (SKEN), for building dynamic collaborative communities centered around primary scientific references. The underlying goals of SKEN are to expand traditional, content-based scientific information into a community-based information exchange and to provide an innovative mechanism for blending science knowledge with opportunities for formal and informal science education. This transforms primary scientific references into "living" publications that include the most current information on their topics and allow continuous annotations of the content through community input from both researchers and members of the public. Scholarly authors and editors vet and edit any new information before uploading it to the primary content. Educators can also use SKEN to locate information for their teaching, as well as to post teaching resources and strategies back to the community. Using advanced information technologies SKEN is moving primary scientific resources from restricted content distribution points (bricks and mortar libraries) to ubiquitous availability over the Internet. It is also decreasing the time required to update these scientific resources, and improving access, search, and archival capabilities. By ensuring that all scientific communities implementing the SKEN architecture become part of the NSDL infrastructure, this project provides easy cross-fertilization of scientific disciplines.
该项目正在开发一个开源基础设施,以创建一个知识和教育网络-一个新的和强大的应用程序,称为科学知识和教育网络(SKEN),用于建立围绕主要科学参考的动态协作社区。SKEN的基本目标是将传统的、以内容为基础的科学信息扩展为以社区为基础的信息交流,并提供一种创新机制,将科学知识与正规和非正规科学教育的机会相结合。这将主要的科学参考转化为“活的”出版物,其中包括关于其主题的最新信息,并允许通过研究人员和公众成员的社区投入对内容进行持续注释。学术作者和编辑在将任何新信息上传到主要内容之前都会对其进行审查和编辑。教育工作者还可以使用SKEN查找教学信息,并将教学资源和策略发布到社区。利用先进的信息技术,SKEN正在将主要的科学资源从有限的内容分发点(实体图书馆)转移到互联网上的无处不在的可用性。它还减少了更新这些科学资源所需的时间,并提高了访问,搜索和存档能力。通过确保所有实施SKEN架构的科学团体成为NSDL基础设施的一部分,该项目提供了科学学科的轻松交叉。

项目成果

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Steven Kelling其他文献

Steven Kelling的其他文献

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{{ truncateString('Steven Kelling', 18)}}的其他基金

Collaborative Research: ABI Innovation: Dark Ecology: Deep Learning and Massive Gaussian Processes to Uncover Biological Signals in Weather Radar
合作研究:ABI 创新:黑暗生态:深度学习和大规模高斯过程揭示天气雷达中的生物信号
  • 批准号:
    1661329
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
ABI Sustaining: eBird: Maintaining the Cyberinfrastructure to Support the Collection, Storage, Archive, Analysis, and Access to a Global Biodiversity Data Resource
ABI 维持:eBird:维护网络基础设施以支持全球生物多样性数据资源的收集、存储、存档、分析和访问
  • 批准号:
    1356308
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
Collaborative Research: ABI Development: Advancing Map of Life's Impact and Capacity for Sharing, Integrating, and Using Global Spatial Biodiversity Knowledge
合作研究:ABI 开发:推进生命影响地图和共享、整合和使用全球空间生物多样性知识的能力
  • 批准号:
    1262396
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
SoCS: Collaborative Research: A Human Computational Approach for Improving Data Quality in Citizen Science Projects
SoCS:协作研究:提高公民科学项目数据质量的人类计算方法
  • 批准号:
    1209589
  • 财政年份:
    2012
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Collaborative Research: CDI-Type II: BirdCast: Novel Machine Learning Methods for Understanding Continent-Scale Bird Migration
合作研究:CDI-Type II:BirdCast:用于理解大陆规模鸟类迁徙的新型机器学习方法
  • 批准号:
    1125098
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
RAPID: Gulf Coast Oil Spill Biodiversity Tracker. A Volunteer-based Observation Network to Monitor the Impact of Oil on Organisms along the Gulf Coast
RAPID:墨西哥湾沿岸漏油生物多样性追踪器。
  • 批准号:
    1049363
  • 财政年份:
    2010
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
"The Biodiversity Analysis Pipeline"
“生物多样性分析管道”
  • 批准号:
    0734857
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Multi-Scaled Data in Ecology: Scale Dependent Patterns in the Environment
生态学中的多尺度数据:环境中的尺度依赖模式
  • 批准号:
    0542868
  • 财政年份:
    2006
  • 资助金额:
    --
  • 项目类别:
    Continuing Grant
SEI+II:Ecological Discovery & Inference: Tools for Data-driven Exploration and Testing of Observational Data
SEI II:生态发现
  • 批准号:
    0612031
  • 财政年份:
    2006
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
ITR-(ASE+EVS)- (dmc+sim): Tracking Environmental Change through the Data Resources of the Bird-monitoring Community
ITR-(ASE EVS)- (dmc sim):通过鸟类监测社区的数据资源跟踪环境变化
  • 批准号:
    0427914
  • 财政年份:
    2004
  • 资助金额:
    --
  • 项目类别:
    Standard Grant

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科学到政策教育:激活可持续交通知识(SPEAKS)
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通过基于现象的科学课程提高基础教育本科生的科学内容知识
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