Community Meeting on Scalable Data Publication Infrastructure

学科(非机构)数据储存库的采用率比机构储存库(IR)高得多，部分原因是它们直接与研究人员工作流程中的关键点相结合，特别是在发表科学论文期间。但社区知识库缺乏与图书馆员和数据管理员中的机构专业知识的合作伙伴关系。该项目通过在研究数据管理和出版方面采取开放的、社区支持的倡议的第一步来满足研究人员的需求。为了有效地利用机构知识并将研究人员作为最终用户提供服务，更多和不同类型的机构需要在价值观和必要性方面拥有发言权。为了建立广泛的社区支持，本次邀请性研讨会将探索社区需求，找出障碍，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发布基础设施提出建议。该项目由国家科学基金会？S公共访问倡议支持，该倡议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智力优势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.