Community Meeting on Scalable Data Publication Infrastructure

学科（非机构）数据存储库的采用率比机构存储库（IRs）高得多，部分原因是它们直接集成了研究人员工作流程中的关键点，特别是在发表科学文章期间。但社区存储库缺乏与图书馆员和数据管理员的机构专业知识的合作关系。这个项目通过在一个开放的、社区支持的研究数据管理和出版倡议中迈出第一步来解决研究人员的需求。为了有效地利用机构知识，为研究人员提供最终用户服务，需要更多不同类型的机构在价值和需求方面拥有发言权。为了建立广泛的社区支持，本次邀请研讨会将探讨社区需求，确定障碍，研究可持续的商业模式，并就广泛推广和采用有效、可扩展和可持续的机构数据出版基础设施提出建议。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。

Disciplinary (non-institutional) data repositories have much higher rates of adoption than Institutional Repositories (IRs) in part because they are directly integrated with key points in researcher workflows, particularly during the publishing of scientific articles. But community repositories lack partnerships with institutional expertise found in librarians and data curators. This project addresses researcher need through taking the first steps in an open, community-supported initiative in research data curation and publishing. To effectively leverage institutional knowledge and serve researchers as end users, more and varied types of institutions need to have a say in the values and necessities. To build broad community support, this invitational workshop will explore community requirements, identify impediments, study sustainable business models, and make recommendations regarding the widespread promotion and adoption of effective, scalable, and sustainable institutional data publication infrastructure.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.