EAGER: DMP Roadmap: Making Data Management Plans Actionable

加州数字图书馆（CDL）将与国内和国际合作者的广泛联盟合作，将静态数据管理计划（DMP）转换为可用于构建研究活动过程和与其他系统通信的机器操作文档。开放数据政策在全球范围内激增，研究人员现在需要提交DMP，其中大多数拨款提案都描述了他们将产生的数据以及共享和保存数据的计划。然而，研究人员并不总是确切地知道他们将在项目开始时产生什么数据。此外，他们没有激励或简单的方法来更新数据库，以在研究过程中保持有序，这可能导致糟糕的数据实践和混乱，最终共享的数据不可用。当前静态形式的DMP对整个研究生态系统的其他利益相关者提出了类似的挑战，例如，必须手动监控合规性的资助者。该项目将通过建立DMPRoadmap来解决这个问题，DMPRoadmap是一个新的国际化平台，将DMPs重新定位为网络研究生态系统的真正中心。拟议项目的主要影响是将日益数字化的研究企业的一个组成部分-信息技术中心转变为一个积极更新和机器可操作的中心，以记录和传播研究活动的产品。将对资助者要求的自由文本响应转换为动态、可验证的数据源将极大地改善所有利益相关者的整个工具链，并提高所有学科信息的速度和可用性。试点的软件输出将以开源许可证公开共享，以便社区可以继续增强和重用该技术，以可扩展的方式扩展学术网络基础设施。在项目期间收集的所有支持数据将完全可供人力和机器使用。由于DMPs正在迅速成为一种全球现象，该项目的成果将引起整个研究界的极大兴趣。影响的广度延伸到全球可持续发展政策的未来，因为机器可操作性使变革更容易，并使持续改进成为可能。该项目将深入探讨如何最大限度地增加对机构和基础设施的投资，通过向公众提供政府资助的研究来实现政策目标，并促进整体公益。 通过推进所有学科的数据密集型研究的最佳实践，该项目将进一步推进科学奋进的目标。CDL将根据社区生成的用例设计，开发和原型化机器可操作的DMP;对可持续发展和数据管理实践的实地研究;以及与学科和机构合作伙伴进行的试点项目。该工作计划包括使用敏捷方法与各种利益相关者群体一起进行开发、实现和测试的迭代阶段。具体用例包括为DMP实现一组通用标准和交换协议，以使信息能够在DMP和现有研究信息系统之间流动（例如，研究办公室、数据储存库、教员档案系统）;利用持久标识符（例如，用于文章和数据集的DOI，用于人员的ORCID iD），以触发跨系统的推/拉通知，使利益相关者能够规划资源，连接研究输出，自动报告和监控，获得信贷，并促进数据的可重复性，重用性和再现性;等等。

The California Digital Library (CDL) will work with an extensive coalition of national and international collaborators to convert static data management plans (DMPs) into machine-actionable documents useful for structuring the course of research activities and communicating with other systems. Open data policies are proliferating worldwide and researchers are now required to submit DMPs with most grant proposals that describe the data they will produce and plans for sharing and preserving it. Researchers do not always know exactly what data they will produce at the beginning of a project, however. Furthermore, they have no incentives or easy methods for updating a DMP to keep things organized over the course of their research, which can lead to poor data practices and chaotic, unusable data shared at the end. DMPs in their current, static form pose similar challenges for other stakeholders across the research ecosystem, e.g., funders who must monitor compliance manually. This project will solve this problem by building out DMPRoadmap, a new, internationalized platform to reposition DMPs as true hubs of the networked research ecosystem. The principal impact of the proposed project is to transform one component of the increasingly digital research enterprise, the DMP, into an actively updated and machine-actionable hub to document and disseminate the products of research activity. Converting free-text responses to funder requirements into dynamic, verifiable data feeds will vastly improve the entire toolchain for all stakeholders and increase the velocity and availability of information across all disciplines. The software outputs of the pilot will be shared publicly with an open source license so that the community can continue to enhance and reuse the technology, extending the scholarly cyberinfrastructure in a scalable manner. All supporting data collected during the project will be made fully available for human and machine consumption. Since DMPs are rapidly becoming a global phenomenon, the outputs of the project will be of great interest to the entire research community. The breadth of the impact extends into the future of DMP policies worldwide, as machine-actionability makes change easier and continuous improvements possible. The project will provide insight into how to maximize investment in institutions and infrastructures in a manner that achieves policy goals by providing public access to government-funded research, and advances the overall public good. By advancing best practices for data-intensive research across all disciplines the project will further the goals of the scientific endeavor.The CDL will design, develop, and prototype machine-actionable DMPs based on community generated use cases; field research on DMP and data management practices; and pilot projects conducted with disciplinary and institutional partners. The work plan encompasses iterative phases of developing, implementing, and testing with various stakeholder groups using an agile methodology. Specific use cases include implementing a set of common standards and exchange protocols for DMPs to enable information to flow between DMPs and existing research information systems (e.g., offices of research, data repositories, faculty profile systems); leveraging persistent identifiers (e.g., DOIs for articles and datasets, ORCID iDs for people) to trigger push/pull notifications across systems that enable stakeholders to plan resources, connect research outputs, automate reporting and monitoring, get credit, and promote data discoverability, reuse, and reproducibility; among others.