新一代ARP对管理应用创新的初探

New ARP:A Data-Driven Exploration for Application Innovation on CAS Management System

【背景】运用大数据提升国家治理现代化水平是我国大数据战略和顶层设计的重要方向。中国科学院一直在实践以数据为驱动的一体化科研管理体系,探索现代化科研管理促进科技创新的应用模式。【方法】从2002年起,着手建设ARP(Academia Resource Planning,中国科学院资源规划)系统,历经四个五年计划的系统性推进,充分发挥了对管理创新的促进作用。【结果】在“十三五”期间,通过重构ARP系统,在业务驱动的基础上融合大数据分析技术,以数据驱动为理念,完成了新一代ARP全院应用,基本形成了覆盖全院主要管理业务场景的信息化应用生态。主要表现为:一是转变管理理念,在支持管理决策应用的基础上,全面覆盖一线科研人员,形成“服务→管理→决策”的服务型业务模式;二是简化业务流程,通过大数据治理发现业务流程的不合理之处,提升业务规范性;三是前后台业务分离,让各项业务处理微服务化,简化科研管理繁琐流程,提升服务效率;四是实现集约化管控和促进数据赋能,通过数据治理形成决策、管理、服务所需的数据资产,支持全局化共享应用。

[Background]Using big-data technologies to improve the modernization level of national governance is a very important strategy of China.CAS is continuously developing a data-driven management system to explore modern ways for technological innovation.[Methods]Since 2002,CAS has been working on development of the ARP(Academia Resource Planning)system,which is an crossdisciplinary effort between computer science and management science,and plays an important role in management innovation.[Results]The New ARP has covered the main functions of common business and applications for CAS institutions through re-factoring the whole system,especially during the span of the 13th Five-Year Plan.It combines the business-driven mode with the data-driven mode using the big-data technologies,and furthermore,it emphasizes data governance and application innovation,which can be characterized by the following features:(1)Besides usage by the management personnel,it does care about front-line researchers,and constructs a service-oriented architecture with“service-management-decision support”.(2)It simplifies the work flow and improves work efficiency.(3)The separation of front-and back-end services focuses on professional ability of business logic,and keeps the balance between the business complexity and ease of operation through work-flow governance.(4)Data assets becomes one of the core objects which would be widely used in decisionsupport,value-added services,big data analysis,and data sharing.