Filtered Push: Community knowledge and quality control in Biodiversity Informatics: A model for more efficient data capture via a distributed Herbarium network.

过滤推送：生物多样性信息学中的社区知识和质量控制：通过分布式植物标本馆网络更有效地捕获数据的模型。

• 批准号: 0646266
• 负责人: James Macklin
• 金额: $ 58.35万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-10-01 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0646266&HistoricalAwards=false
• 关键词: Filtered; Push; Community; knowledge; quality

Harvard University is awarded a grant to design a prototype of an innovative web services network using peer to peer technology for collecting and aggregating community knowledge about specimens held in biodiversity collections. This system will transform the query-based, unidirectional flow of collections data in current distributed networks to a bidirectional flow of information. The proposed network can form a backbone for the collation of community knowledge, and the push of annotations and corrections back to the institutions that hold the information on individual specimens. The project will be carried out in collaboration with the University of Massachusetts ? Boston.Biological specimens held in museums are the repositories for our knowledge of diversity, evolution, and distribution of organisms. The quality of data associated with specimens in these collections is highly variable and under constant review by specialists. Over the last three decades, many collections records have been captured into electronic databases, and more recently, networks of web services have been developed to provide public access to these data. Widespread availability of collections data and unwarranted assumptions about the quality of those data can lead to false conclusions in analyses of those data. Quality control for the information associated with biological specimens is thus becoming essential. A central problem for the next generation of distributed biodiversity informatics tools is how to push corrections, annotations, and new information developed by the global research community back into the databases of individual collections.

哈佛大学获得了一笔赠款，用于设计一个创新的网络服务网络原型，使用点对点技术来收集和汇总关于生物多样性收藏中保存的标本的社区知识。该系统将把当前分布式网络中基于查询的、单向的馆藏数据流动转变为双向的信息流动。拟议的网络可以形成一个骨干，用于整理社区知识，并将注释和更正推送回持有个别标本信息的机构。该项目将与马萨诸塞大学合作进行。博物馆里的生物标本是我们了解生物多样性、进化和分布的宝库。与这些收集中的标本相关的数据的质量是高度可变的，并由专家不断审查。在过去的三十年里，许多藏品记录被捕获到电子数据库中，最近，开发了网络服务网络，以提供对这些数据的公共访问。收集数据的广泛可获得性和对这些数据质量的毫无根据的假设可能导致在分析这些数据时得出错误的结论。因此，对与生物标本相关的信息进行质量控制变得至关重要。下一代分布式生物多样性信息学工具的一个中心问题是如何将全球研究界开发的更正、注释和新信息推回到单个集合的数据库中。