EAGER: Crowdsourcing Metadata Enhancements to Improve the Discoverability and Reusability of Scientific Data: Experimental Evaluations

EAGER：众包元数据增强功能以​​提高科学数据的可发现性和可重用性：实验评估

• 批准号: 1838994
• 负责人: Margaret Levenstein
• 金额: $ 29.82万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1838994&HistoricalAwards=false
• 关键词: EAGER; Crowdsourcing; Metadata; Enhancements; Improve; EAGER; Crowdsourcing; Metadata; Enhancements; Improve

This exploratory pilot project will undertake two experiments to determine what motivates people to contribute metadata enhancements to data that have been archived, but that are not sufficiently findable, accessible, interoperable, and reusable. Current practice in data curation relies on the efforts of data producers and professional data curators to produce and provide metadata, including variable level data descriptors, study key words, and bibliographic citations to data-related publications. These efforts are expensive and, as a result, are often undersupplied, leaving data that has been archived and shared with the scientific community of limited value for reuse. The experiments in this project will directly inform potentially transformative efforts to engage the broader community in crowdsourcing enhancements to metadata so that tools and interfaces can be designed that will induce others to participate in this valuable activity, tapping into their knowledge of and interest in data in particular domains to increase data FAIRness. This project is supported by the National Science Foundation Public Access Initiative which is managed by the NSF Office of Advanced Cyberinfrastructure on behalf of the Foundation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该探索性试点项目将进行两个实验，以确定是什么促使人们为已存档的数据贡献元数据增强功能，但这些数据尚无法找到，可访问，可互操作和可重复使用。 当前的数据策划实践依赖于数据生产者和专业数据策展人在生产和提供元数据的努力，包括可变级别的数据描述符，研究关键词和书目引用与数据相关的出版物。这些努力很昂贵，因此经常被铺设，留下与有限价值的科学界进行了存档和共享的数据。该项目中的实验将直接告知潜在的变革性努力，以吸引更广泛的社区，以增强对元数据的增强，以便可以设计工具和界面，以诱使其他人参与这一宝贵的活动，从而融入他们对特定领域数据的知识和对数据的兴趣，以提高数据公平。该项目得到了国家科学基金会公共访问计划的支持，该计划由NSF高级网络基础架构办公室代表基金会管理。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来进行评估的。