Updating FishNet 2 to sustain its use in high-impact, global, ichthyological research

更新 FishNet 2 以维持其在高影响力的全球鱼类学研究中的使用

• 批准号: 2031693
• 负责人: Henry Bart
• 金额: $ 79.25万
• 依托单位: Tulane University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2031693&HistoricalAwards=false
• 关键词: Updating; FishNet; sustain; its; use

FishNet, and its successor, FishNet 2 (http://www.fishnet2.neT), have served the needs of researchers for quality data on fish specimens in research collections for the past 20 years. FishNet 2 currently comprises data from 75 institutions globally and provides researchers access to 4.8 million records, representing more than 50 million fish specimens. It is the most trusted source of information and specimens for scholarly research on fishes. However, the proprietary software on which the FishNet 2 was built has passed the end of its service life and needs to be updated. Updating FishNet 2’s operating system will require updates to the much of its software and other system components. The proposed project will completely rebuild all components of FishNet 2 using the latest technology and an Open Source environment. All components of the FishNet 2 cyberinfrastructure will be updated. The number of institutional data providers to FishNet 2 will be greatly expanded. The process of harvesting data from providers and processing the harvested data will be automated to keep the data up to date. We will also offer a variety of support services for FishNet 2 data providers. A dynamic, relational database design will be implemented with the flexibility to add data fields not currently reported to FishNet 2 users. A number of new search and results-reporting features will also be implemented. Lastly, new services will be added, including data quality assessment tools, a FishNet 2-specific R package (statistical computing and graphics software), a web forum for communicating with users and data providers, a FishNet 2 hosted data publishing (IPT) service and a new and improved FishNet2 Application Programming Interface (API).Notices on all project activities and all project products will be broadly disseminated to FishNet 2 data providers, software developers and members of the biodiversity informatics community through web forums, conference presentations, scholarly publications, and posts to the GitHub source code management service. We will provide training workshops on use of new FishNet 2 features to FishNet 2 data providers and users at ichthyological and informatics conferences. The FishNet 2 user base will be expanded to include educators and the general public by integrating data from FishBase and the Ocean Biodiversity Information System (OBIS) into FishNet 2 results reporting, and by inviting educators to serve on a planned FishNet 2 Testing and Advisory Group. The Testing and Advisory Group will also involve FishNet 2 users and Tulane University Computer Science Capstone students, who will be engaged in platform design and code development for the project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

FishNet及其后继产品FishNet 2（http：//www.fishnet2.neT）在过去20年中满足了研究人员对研究收藏中鱼类标本的高质量数据的需求。FishNet 2目前包含来自全球75个机构的数据，为研究人员提供了480万条记录，代表了5000多万种鱼类标本。它是鱼类学术研究最值得信赖的信息和标本来源。 然而，FishNet 2所基于的专有软件已经超过了其使用寿命，需要更新。更新FishNet 2的操作系统将需要更新其大部分软件和其他系统组件。 拟议的项目将使用最新技术和开源环境完全重建FishNet 2的所有组件。FishNet 2网络基础设施的所有组件都将更新。FishNet 2的机构数据提供者数量将大大增加。从供应商收集数据和处理收集的数据的过程将自动化，以保持数据的最新状态。我们还将为FishNet 2数据提供商提供各种支持服务。将实施动态关系数据库设计，并灵活地添加当前未报告给FishNet 2用户的数据字段。 还将实施一些新的搜索和结果报告功能。最后，将添加新的服务，包括数据质量评估工具，FishNet 2特定的R包（统计计算和图形软件），一个与用户和数据提供者交流的网络论坛，FishNet 2托管的数据发布（IPT）服务和新的改进的FishNet 2应用程序编程接口（API）关于所有项目活动和所有项目产品的通知将通过网络论坛、会议介绍、学术出版物、并发布到GitHub源代码管理服务。 我们将在鱼类学和信息学会议上为FishNet 2数据提供者和用户提供关于使用FishNet 2新功能的培训讲习班。FishNet 2用户群将扩大到包括教育工作者和公众，将FishBase和海洋生物多样性信息系统（OBIS）的数据纳入FishNet 2结果报告，并邀请教育工作者参加计划中的FishNet 2测试和咨询小组。测试和咨询小组还将包括FishNet 2用户和杜兰大学计算机科学Capstone学生，他们将参与该项目的平台设计和代码开发。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。