Networking Our Research Legacy: Infrastructure to Document, Manage, and Access Ecological Data Resources

[摘要]麦卡特尼亚利桑那州网络研究遗产；记录、管理和访问生态数据的基础设施摘要本项目建议开发一个信息基础设施，该基础设施将大大增强对亚利桑那州立大学广泛生态数据资源的访问。一套收录元数据、分类学数据和书目的现有数据库将被交叉引用和增强，以支持通过国家地理空间、分类学和馆藏数据交换所进行的空间查询和搜索。通过开发一系列自动处理元数据和数据的工具，对原始数据集的搜索将能够流畅地将用户引导到在线预览和查询界面。这些工具将提供几个关键功能，利用元数据在自动化数据访问中的强大功能，包括简化元数据生成、元数据报告和显示、数据查询的快速应用程序以及简化通过Internet的数据导入和导出。使用开放标准，如可扩展标记语言和Java，以及该项目采用的模块化开发方法，将确保灵活性，以便在基础设施中快速支持新数据集，并开发满足不同目标受众数据需求的接口。演示这些工具使用的原型应用程序将为以下三种受众开发：学术研究、教育和管理。

AbstractDBI-9983132McCartney Arizona StateNetworking our Research Legacy; Infrastructure to Document, manage, and Access Ecological DataSummaryThis project proposes to develop an information infrastructure that will greatly enhance access to a broad spectrum of ecological data resources at Arizona State University. A suite of existing databases that inventory metadata, taxonomic data, and bibliographies will be cross-referenced and enhanced to support spatial queries and searches via national clearinghouses for geo-spatial, taxonomic and collections data. Through development of a series of tools for automated processing of metadata and data, searches for primary datasets will be able to fluidly direct the user to online preview and query interfaces. These tools will provide several key functions that leverage the power of metadata in automating data access, including simplifying metadata generation, metadata reporting and display, rapid application for data query, and simplifying data import and export over the Internet. The use of open standards such as eXtensible Markup Language and Java and the modular approach to development taken by this project will ensure the flexibility that will allow rapid support for new datasets within the infrastructure and the development of interfaces that address the data needs of diverse target audiences. Prototype applications that illustrate the use of these tools will be developed for three such audiences: academic research, education, and management.