EAGER: Open Science Data in Semantic Web Research

将开放科学确立为学术界的默认实践是至关重要的。报告研究结果不仅仅是手稿。它是实际执行的过程、数据（和元数据）、实现的软件（和环境）等等。询问与透明度和可再现性有关的问题也很重要，例如关于他们的评论、发布元数据的问题，特别是关于报告结果的数据和软件在哪里的问题。通过开放科学实践在这些工件之间建立联系，它通过降低进入理解（和复制）前沿研究的门槛使研究民主化，同时通过减少重新实现软件或重新收集数据的需要来加速新研究。以一种有用和可理解的方式连接这些组件和数据是语义网研究的核心任务。pi建议利用IOS Press的语义网期刊的领导地位和声誉来证明，在没有重大开销的情况下，可以实现出版物基础数据的开放共享，并提供重要的附加价值。对于本期刊，pi将要求作者持续发布其结果背后的数据和软件，包括软件和数据提供作为同行评审评估的一部分，并发布丰富的元数据以补充数据和软件。pi将开发支持开放科学的技术，并将与社区合作，完善软件和政策，以增强语义网期刊的开放科学。这种方法可以作为其他寻求采用类似开放科学数据实践蓝图的期刊编辑的一个模型。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。

Establishing Open Science as the default practice in the academic community is critical. Reporting a research result is more than just the manuscript. It is the actual process undertaken, the data (and metadata), the implemented software (and environment), and more. It is also important to ask questions pertaining to transparency and reproducibility, such as those regarding their reviews, publishing metadata, and, in particular, Where are the data and software that underlie their reported results? By making the connections between these artifacts through Open Science practices, it democratizes research by lowering the barrier of entry to understanding (and replicating) cutting edge research, while simultaneously accelerating novel research by reducing the need to re-implement software or re-collect data. Connecting these components and data in a useful and understandable way is a core mission of Semantic Web research. The PIs propose to leverage the leadership and reputation of the Semantic Web journal by IOS Press to demonstrate that the open sharing of data underlying publications can be done without significant overhead and provides significant added value. The PIs will, for this journal, require authors to sustainably publish the data and software underlying their results, include software and data provision as part of the peer review assessment, and publish rich metadata for the supplementary data and software. The PIs will develop technology in support of open science and will work with the community to refine the software and policies that enhance open science for the Semantic Web journal. The approach can serve as a model for other journal editors who seek a blueprint for adopting similar Open Science Data practices.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.