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

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、强大的应用程序，称为科学知识和教育网络（SKEN），用于建立以主要科学参考文献为中心的动态协作社区。SKEN的潜在目标是将传统的、基于内容的科学信息扩展为基于社区的信息交换，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结合起来。这将主要的科学参考文献转化为“活的”出版物，其中包括有关其主题的最新信息，并允许通过来自研究人员和公众的社区输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对其进行审查和编辑。教育工作者还可以使用SKEN来查找教学信息，以及将教学资源和策略发布回社区。利用先进的信息技术，SKEN正在将主要的科学资源从受限制的内容分发点（实体图书馆）转移到互联网上无处不在的可用性。它还减少了更新这些科学资源所需的时间，并改进了访问、搜索和存档能力。通过确保所有实现SKEN体系结构的科学社区成为NSDL基础设施的一部分，该项目为科学学科的交叉施肥提供了方便。

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.