Filtered Push: Continuous Quality Control for Distributed Collections and Other Species-Occurrence Data.

哈佛大学获得一笔赠款，用于开发一种网络解决方案，以实现对分布式生物收集数据的注释，并共享有关其质量或可用性的断言。针对多个数据集的互联网查询可能会产生不同的结果，具体取决于目标数据的适用性或质量。在某些情况下，可以询问专家或软件代理人，他们可以帮助确定是否适合使用;在其他情况下，这些专家或代理人可能已经记录了对数据的评估。然而，该信息通常不可用于查询的发起者。 拟议的系统将使生物多样性数据集的最终用户能够访问这些增值断言。过滤推送网络使用自然科学集合作为网络基础设施的参考实现，任何社区都可以使用该网络基础设施来提供有关数据质量以及数据集或记录子集使用的适用性的专家意见。过滤推送网络的新兴知识库支持感兴趣的各方能够立即或历史访问这些注释，通过表达对其兴趣的限制的标准进行过滤。该网络还可以自动执行由专家评论、新数据的引入或发现或科学观点的变化触发的科学工作流程。与注释一样，这些工作流的输出可以分发给感兴趣的各方、软件或人。因此，过滤推送网络允许科学界基于人类专业知识、统计或逻辑机器推理或领域科学本身的进展进行持续的质量控制。Filtered Push项目在http://www.etaxonomy.org/mw/FilteredPush上维护一个wiki。 该项目是一项为期10年的努力的一部分，旨在收集和动员与美国研究收藏中的生物标本有关的科学信息。该项目的图像和数字化数据将被纳入在线国家资源，如社区战略计划所述，可在http://digbiocol.files.wordpress.com/2010/05/digistratplanfinaldraft.pdf上查阅。

Harvard University is awarded a grant to develop a networked solution to enable annotation of distributed biological collection data and to share assertions about their quality or usability. Internet inquiries that are posed to multiple datasets may yield varying results depending on the suitability or quality of the targeted data. In some cases it might be possible to inquire of experts or software agents that can assist in determining the fitness for use; in other cases such experts or agents might already have recorded an assessment of the data. However, that information is not typically available to the originator of the query. The proposed system will make these value-added assertions accessible to the end users of biodiversity datasets. The Filtered Push network uses natural science collections as a reference implementation for a cyberinfrastructure with which any community can render an expert opinion about the quality of data, and the fitness for use of a data set or a subset of records. The emergent knowledgebase of the Filtered Push network supports the ability of interested parties to get immediate or historical access to these annotations, filtered by criteria expressing constraints on their interests. The network can also provide for the automatic execution of scientific workflows triggered by expert commentary, by the introduction or discovery of new data, or by a change in scientific viewpoints. As with the annotations, the outputs of such workflows can be distributed to interested parties, software or human. Filtered Push networks therefore allow for continuous quality control by the scientific community, based on human expertise, statistical or logical machine reasoning or advances in the domain science itself. The Filtered Push project maintains a wiki at http://www.etaxonomy.org/mw/FilteredPush. This project is part of a 10-year effort to digitize and mobilize the scientific information associated with biological specimens held in U.S. research collections. The images and digitized data from this project will be integrated into the online national resource as outlined in the community strategic plan available at http://digbiocol.files.wordpress.com/2010/05/digistratplanfinaldraft.pdf.