A DataViz Hackathon for Polar CyberInfrastructure

这次研讨会的重点将是网络基础设施/数据可视化和极地社区之间的联系，定于2014年11月在纽约市帕森斯新设计学院举行。提高极地地区现有数据集的使用和价值对于促进科学和支持新发现至关重要。最终，数据可视化专家和极地科学家之间的合作将促进对极地地区在不同时间尺度上的可变性的理解，并为社会带来隐性好处。与会者将受到几个公开的极地数据集的激励，这些数据集将在讲习班开始日期之前获得并提供。预期的结果之一是产生高影响力和新颖的原型和数据可视化，这些原型和数据可视化将在开源许可证下提供。发布原型将允许NSF在社区可以采用的技术和可视化方面进行长期投资。研讨会还将加强NSF、NASA、NOAA和其他北极/极地相关机构之间的跨机构合作。组织委员会由网络基础设施和极地专家组成，包括学术界、工业界、联邦资助的研发中心和更广泛的开源社区的参与。研讨会将：(1)推荐用于数据和元数据处理、科学工作流程管理、数据管理和数据传播的几套开源软件；(2)确定一些相关的极地数据可视化技术，并评估将极地数据集可视化的需求和挑战；(3)通过公共网站打包、交付和提供研讨会成果；以及(4)通过最终报告向国家科学基金会极地网络基础设施项目官员提供投入。

This workshop will focus on the bridging of the cyberinfrastructure/data visualization and polar communities and it is scheduled to be held in New York City at the Parsons New School for Design in November 2014. Improving the use and the value of existing data sets over the polar regions is crucial to promote science and support new discoveries. Ultimately, collaborations between data visualization experts and polar scientists will foster the understanding of the variability of the polar regions at different timescales, with implicit benefit for the society. The participants will be motivated by several public Polar datasets that will be acquired and made available before the starting date of the workshop. One of the expected outcomes is to produce high impact and novel prototypes and data visualizations that will be made available under open source licenses. Releasing the prototypes will allow the NSF to make longer-term investments in technologies and visualizations that can be adopted by the community. The workshop will also increase cross agency collaboration between NSF, NASA, NOAA and other Arctic/Polar related agencies.The organizing committee is composed by both cyberinfrastructure and polar experts, including participation from academia, industry, the federally funded research and development centers, and from the broader open source community. The workshop will: (1) recommend several sets of open source software for data and metadata processing; scientific workflow management; data curation; and data dissemination; (2) identify some relevant Polar data visualization techniques and assess the needs and challenges of visualizing Polar datasets; (3) package, deliver, and make available the outcomes of the workshop via a public website; and (4) provide input to the NSF Polar CyberInfrastructure program officer through a final report.