FAIR Publishing Guidelines for Spectral Data and Chemical Structures in Support of Chemistry and Related Disciplinary Communities

在这个项目中，pi将召开一次会议，为共享通常报告的化学数据类别的机器可读文件建立出版指南。研讨会组织者寻求来自研究人员、出版商、资助机构、图书馆、数据库和存储库管理人员、工具开发人员、化学学会和标准组织的参与。讨论的主题包括制定数据的价值主张（即，应该保留哪些数据以及保留多长时间），以及制定标准和涉众角色，以更好地支持可查找、可访问、可互操作和可重用（FAIR）的数据。预计会有几个结果，包括为光谱和化学结构数据指定FAIR标准的最佳实践出版指南；以及用于在域存储库中捕获、管理和共享这些数据的工作流模型。本次研讨会将以研究数据联盟（RDA）、国际纯粹与应用化学联合会（IUPAC）、美国化学会（ACS）和其他相关科学学会的势头为基础。该项目由美国国家科学基金会资助。该项目由NSF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。

In this project the PIs will convene a meeting to establish publishing guidelines for sharing machine-readable files of commonly reported chemical data classes. The workshop organizers seek involvement from researchers, publishers, funding agencies, libraries, database and repository managers, tool developers, chemical societies, and standards organizations. Topics to discuss include formulating value propositions for data (that is, what data should be kept and for how long), and formulating criteria and stakeholder roles to better support data that are Findable, Accessible Interoperable, and Reusable (FAIR). Several outcomes are expected, including best-practice publishing guidelines specifying FAIR criteria for spectral and chemical structure data; and workflow models for capturing, managing and sharing these data in domain repositories. This workshop will build on momentum from the Research Data Alliance (RDA), the International Union of Pure and Applied Chemistry (IUPAC), the American Chemical Society (ACS) and other related scientific societies. This project is supported by the National Science Foundation?s 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.