ABI Development: Collaborative Research: VertNet, a New Model for Biodiversity Networks

ABI 开发：协作研究：VertNet，生物多样性网络的新模型

• 批准号: 1062271
• 负责人: Henry Bart
• 金额: $ 20.46万
• 依托单位: Tulane University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1062271&HistoricalAwards=false
• 关键词: ABI; Development; Collaborative; Research; VertNet

This collaborative award is made to implement an innovative model for biodiversity networks and data sharing called VertNet (http://vertnet.org). Biodiversity is in a crisis caused by multiple human impacts on the environment, and documentation of spatial and temporal biodiversity changes is immediately and urgently needed in order to address this crisis. The community of vertebrate natural history collections has begun to meet this need by establishing social and technological infrastructures that provide open access to data describing planetary occurrences of biological specimens. Taxon-specific data sharing initiatives such as MaNIS, ORNIS, HerpNET and FishNet 2 currently provide, in total, over 85 million records documenting where vertebrates occur. Together these networks include 171 collections from 12 countries, with an additional 52 collections (20 countries) committed to participation. Already, they are accessed at a rate of nearly 2.5 million records per week. Participation in each of these networks has far exceeded expectations, resulting in growing issues of scalability, performance, sustainability, and ability to incorporate new members. VertNet will solve these impediments by moving to a cloud computing solution in which providers and users synchronize changes to a cloud-based network of vertebrate biodiversity data. Cloud computing is a pay-per-use model utilizing internet-based, third party computing resources that are fast and dynamically scalable. The new VertNet model removes the requirement and cost to contributors to buy or maintain their own servers while leveraging all of the data integrity and replication services provided by the cloud. Under the new model, contributors will use a web-based administrative interface to create a "provider" in the cloud. Subsequent updates will use the same local application to publish differences (additions, changes, deletions) since initial publishing. Data storage in the cloud will contain the primary data published from all contributors as persistently and uniquely available records. In addition, it will contain summary information about data aggregations, and will incorporate data from other sources such as auxiliary data look-ups, user feedback, and data quality assessments. VertNet will provide open access to data with new capabilities for discovery and visualization, and will integrate with several existing biodiversity and collection management applications. Development of VertNet will transform the use of vertebrate biodiversity data for cross-disciplinary research, conservation, and policy-making.The four predecessor projects (MaNIS, ORNIS, HerpNET, FishNet 2) have built a strong tradition of biodiversity informatics training and community-building. VertNet will continue this tradition, with impacts extending beyond the funded institutions. Specifically, VertNet will engage students from across the United States in two Summer Internships in Biodiversity Informatics and two Workshops in Biodiversity Informatics. In addition, undergraduate students will be offered volunteer apprenticeships through existing programs at UC Berkeley. An additional workshop that involves the broader community will address strategies for long-term sustainability of digitization and data-sharing efforts.

该协作奖项是为了实施一个名为Vertnet（http://vertnet.org）的生物多样性网络和数据共享的创新模型。生物多样性是由人类对环境的多种影响造成的危机，为了解决这一危机，立即迫切需要立即迫切需要进行空间和时间生物多样性变化。通过建立社会和技术基础设施，可以开放访问描述生物标本的行星事件的数据，从而满足了脊椎动物自然历史收藏的社区。目前，目前总共有超过8500万个记录记录了脊椎动物的发生，目前总共提供了超过8500万个记录，例如Manis，Ornis，Herpnet和Fishnet 2等分类单元的数据共享计划。这些网络共同包括来自12个国家的171个收藏品，另外还有52个收藏（20个国家）致力于参与。他们已经以近250万张记录的速度访问。 参与这些网络的每个网络都远远超出了期望，从而导致越来越多的可扩展性，性能，可持续性和合并新成员的能力。 Vertnet将通过移动到云计算解决方案来解决这些障碍，在该解决方案中，提供商和用户同步基于云的脊椎动物生物多样性数据网络。云计算是一种利用基于Internet的第三方计算资源的每次使用付费模型，这些模型快速且动态可扩展。新的Vertnet模型删除了购买或维护自己的服务器的要求和成本，同时利用云提供的所有数据完整性和复制服务。在新模型下，贡献者将使用基于Web的管理接口在云中创建“提供商”。自初始发布以来，随后的更新将使用相同的本地应用程序来发布差异（添加，更改，删除）。云中的数据存储将包含从所有贡献者中发布的主要数据，作为持续且独特的记录。此外，它将包含有关数据聚合的摘要信息，并将结合其他来源的数据，例如辅助数据查找，用户反馈和数据质量评估。 Vertnet将提供对数据和可视化功能的新功能的开放访问，并将与几种现有的生物多样性和收集管理应用程序集成。 Vertnet的开发将改变脊椎动物生物多样性数据的使用来进行跨学科研究，保护和决策。这四个前身项目（Manis，Ornis，Ornis，Herpnet，Fishnet 2）建立了生物多样性信息培训和社区建设的强大传统。 Vertnet将继续这一传统，其影响范围超出了资金的机构。具体来说，Vertnet将与来自美国各地的学生一起参加两次有关生物多样性信息学的暑期实习，并在生物多样性信息学上进行两个研讨会。此外，将通过UC Berkeley的现有计划为学徒提供志愿者学徒。涉及更广泛社区的另一个研讨会将解决有关数字化和数据共享工作的长期可持续性的策略。