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

摘要DBI-9983132麦卡特尼亚利桑那州立网络我们的研究遗产;基础设施，以文件，管理和访问生态数据摘要该项目提出了开发一个信息基础设施，将大大提高访问范围广泛的生态数据资源在亚利桑那州立大学。 将对一套现有的元数据、分类数据和书目数据库进行交叉参照和加强，以支持通过国家信息交换中心进行地理空间、分类和收藏数据的空间查询和搜索。 通过开发一系列用于自动处理元数据和数据的工具，对主要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。 这些工具将提供几项关键功能，利用元数据的力量使数据访问自动化，包括简化元数据的生成、元数据报告和显示、数据查询的快速应用程序以及简化互联网上的数据输入和输出。 该项目采用可扩展标记语言和Java等开放标准以及模块化开发方法，将确保灵活性，从而能够迅速支持基础设施内的新数据集，并开发接口，满足不同目标受众的数据需求。 原型应用程序，说明这些工具的使用将开发三个这样的观众：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.