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

这个探索性试点项目将进行两个实验，以确定是什么促使人们对已归档的数据进行元数据增强，但这些数据的可查找性、可访问性、互操作性和可重用性还不够。当前数据管理的实践依赖于数据生产者和专业数据管理人员的努力，以产生和提供元数据，包括可变级别的数据描述符、研究关键词和数据相关出版物的书目引用。这些努力是昂贵的，结果往往是供应不足，使得已经存档并与科学界共享的数据对重用的价值有限。该项目的实验将直接为潜在的变革性努力提供信息，让更广泛的社区参与到元数据的众包增强中来，这样就可以设计出工具和接口，诱导其他人参与到这一有价值的活动中来，利用他们对特定领域数据的知识和兴趣来增加数据公平性。本项目由美国国家科学基金会公共访问计划提供支持，该计划由美国国家科学基金会高级网络基础设施办公室代表基金会管理。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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will undertake two experiments to determine what motivates people to contribute metadata enhancements to data that have been archived, but that are not sufficiently findable, accessible, interoperable, and reusable.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 These efforts are expensive and, as a result, are often undersupplied, leaving data that has been archived and shared with the scientific community of limited value for reuse.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.