EAGER: An Exploration in Enabling Community-Driven Collaboration

EAGER：实现社区驱动协作的探索

• 批准号: 1153617
• 负责人: Mark Ellisman
• 金额: $ 12.01万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1153617&HistoricalAwards=false
• 关键词: EAGER; Exploration; Enabling; Community; Driven

Contemporary information technology is ever more central to science and society in the midst of the deluge of complex data. The impact on bioscience is notable, where the pace of production and the data complexity means that a large amount of data is often not adequately analyzed by the data producers, yet researchers expect rapid dissemination of such types of data. To ensure effective impact, a solution promising to be transformational is to open "big data" analysis to the broader community. An avenue is provided by modern IT and the explosive growth and democratizing impact of the Internet, which, following the digitization of information and communication, has changed the pace of information exchange and opens up new channels for disseminating data and for engaging disparate disciplines in extended, productive collaborations. The result of this will be a platform with a customized pre-build interface that will significantly reduce the downside of the form-based data input approach. The input interface will be small, easy to use and readily accepted by users but still relevant to what a user might want to input. The interface will provide strong search ability to the controlled vocabulary and provide users with this information through "input hint", dropdown lists or auto-completion, according to what is most efficient for the specific extension and provides an effective, readily followed and precise process. Sustaining the free text input section will provide users with maximum freedom of data input. By enabling community collaboration via Web access and implementing a database resource linked with the knowledge collection interface together with free text entry format, this system will provide a venue for researchers among many communities, including those located at non-research intensive universities, community colleges and minority-serving institutions, in this Nation and worldwide, to contribute their insight to experimental research observations that currently requires expensive specialized equipment only available in a few centers around the world.

当代信息技术在复杂数据的泛滥之中越来越核心科学和社会。对生物科学的影响是值得注意的，其中生产速度和数据复杂性意味着数据生产者通常无法充分分析大量数据，但研究人员期望快速传播此类数据。为了确保有效的影响，有望变革的解决方案是向更广泛的社区开放“大数据”分析。现代IT和互联网的爆炸性增长和民主化的影响提供了途径，在信息和通信的数字化之后，它改变了信息交流的步伐，并为传播数据和参与扩展，生产性合作的差异纪律的新渠道打开了新渠道。 其结果将是一个具有自定义的预构建接口的平台，该平台将大大减少基于表单的数据输入方法的缺点。输入界面将很小，易于使用且容易被用户接受，但仍然与用户可能想要输入的内容有关。该界面将根据“输入提示”，下拉列表或自动完成为受控词汇提供强大的搜索能力，并根据特定扩展最有效，并提供有效，易于遵循和精确的过程。维持自由文本输入部分将为用户提供最大的数据输入自由度。通过通过Web访问启用社区协作并实施与知识收集界面链接的数据库资源以及免费文本条目格式相关联，该系统将为许多社区的研究人员提供一个场地，包括位于非研究密集型大学，社区和少数民族和少数民族服务机构，在这个国家和全球范围内，需要实验性的专业设备，这些设备仅构成了昂贵的专业设备。