Building an Effective Service-Oriented Cyberinfrastructure Portal to Support Sustained Polar Sciences

该项目将开发极地网络基础设施（CI）的组成部分，以支持研究人员和用户进行数据发现和访问。主要目标是提供工具，使人们能够更好地获取极地数据和信息，从而使人们能够花更多的时间进行分析和研究，并大大减少发现和搜索的时间。在项目结束时，PI将提供一个大规模的网络爬虫，以不断挖掘互联网，发现分散的极地数据和质量监测工具，使极地数据重新制定。除了识别主要数据存储库中的极坐标数据外，爬虫还能够将各个隐藏资源向前显示，从而提高极坐标数据的可识别性。将分析数据资源的质量和评估，不仅为确定问题提供关键工具，而且还将研究界与最佳数据资源联系起来。 该项目将影响极地科学内外的多个学科、用户和实践社区。更广泛的影响包括改善数据的可检索性和更好的访问，从而可以减少搜索数据所花费的时间（从而用于研究目的）。这项工作的数据质量和爬虫部分将提供给科学界，以服务于未来的目的并支持额外的工作。此外，该项目还将通过计算机科学家的合作，专注于特定的极地问题，促进“网络极地”社区的发展。结果将通过课堂活动纳入本科生和研究生的课程和实践经验，两名博士生将在项目期间全职参与。

This project will develop components of a polar cyberinfrastructure (CI) to support researchers and users for data discovery and access. The main goal is to provide tools that will enable a better access to polar data and information, hence allowing to spend more time on analysis and research, and significantly less time on discover and searching. At the end of the project, the PIs will deliver a large-scale web crawler to continuously mine the Internet to discover dispersed polar data and a quality monitoring tool allowing polar data reformulation. Beside identifying polar data in major data repositories, the crawler will be able to bring individual hidden resources forward, hence increasing the discoverability of polar data. Quality and assessment of data resources will be analyzed, providing a key tool for not only identifying issues but also to connect the research community with optimal data resources. The project will impact several disciplines, users and communities of practice - within and beyond the polar sciences. The broader impacts include the improved discoverability of data and better access so that the time spent searching the data could be reduced (and hence used for research purposes). The data quality and crawler components of the work will be made available to the scientific community to serve future purposes and support additional work. Moreover, the project will also contribute to the growth of a 'cyberpolar' community, through the collaboration of computer scientists focusing on specific polar issues. Results will be incorporated into lessons and hands-on experience for undergraduate and graduate students through classroom activities and two PhD students will be involved full time for the duration of the project.