数据与计算发展前沿 ›› 2021, Vol. 3 ›› Issue (2): 39-49.

doi: 10.11871/jfdc.issn.2096-742X.2021.02.005

• 管理决策与智能应用专刊 • 上一篇    下一篇

新一代ARP对管理应用创新的初探

于建军(),廖方宇(),周小军(),孙健英()   

  1. 中国科学院计算机网络信息中心,北京 100190
  • 收稿日期:2021-02-28 出版日期:2021-04-20 发布日期:2021-05-18
  • 通讯作者: 于建军
  • 作者简介:于建军,中国科学院计算机网络信息中心,研究员,博士生导师,管理信息化部副主任,主要研究方向为大数据分析、协同推荐、云计算,当前主要从事新一代ARP相关技术研究。
    在本文中承担新一代ARP技术研究。
    YU Jianjun is currently the researcher, doctoral supervisor, and the deputy Director of Management informazation Deparment, Computer Network Information Center, Chinese Academy of Sciences. His research interests cover big data analysis, collaborative filtering recommendation, cloud computing. Recently, he is working on New ARP technical research.
    In this paper, he is responsible for the research on the techno-logies of the New ARP.
    E-mail: yujj@cnic.ac.cn|廖方宇,中国科学院网信领导小组成员,中国科学院计算机网络信息中心,研究员,国际科学数据委员会中国委员会委员、中国计算机学会计算机安全专业委员会副主任委员等。负责中国科学院“数据与计算平台”中长期发展战略规划等,兼任国家发改委“大数据分析与计算技术国家地方联合工程实验室”主任、中国科学院计算科学应用研究中心理事长等。曾获国家科技进步一等奖、北京市科技进步二等奖。
    LIAO Fangyu is a member of the leading Group for Cyberspace Affairs, Chinese Academy of Sciences (CAS). He is the professor of Computer Network Information Center, CAS. He is also the vice chairman of Professional Committee of Computer Security of China Computer Federation, vice Chairman of the China Committee of Committee on Data of the International Science Council, the director of National joint engineering laboratory of Big Data Analysis and Computing of NDRC, and the chairman of Center of Scientific Computing Applications & Research, CAS. He takes charge of long term plan “Data and Computing Platform” of CAS. He has won the first prize of national science and technology progress, and the second prize of Beijing science and technology progress.
    In this paper, he is responsible for the overall draft and applica-tion innovation summary of New ARP.
    E-mail: fyliao@cnic.cn|周小军,中国科学院计算机网络信息中心,高级工程师,硕士生导师,管理信息化部主任,主要研究方向为云计算、软件工程,当前主要从事新一代ARP相关技术研究。
    本文中负责新一代ARP业务场景案例分析研究。
    ZHOU Xiaojun is currently the senior engineer, master supervisor, and the Director of Management informazation Deparment, Computer Network Information Center, Chinese Academy of Sciences. His research interests cover cloud computing and software engineering. Recently, he is working on New ARP technical research.
    In this paper, he is responsible for the case and business scenario analysis of New ARP.
    E-mail: xjzhou@cnic.cn|孙健英,中国科学院计算机网络信息中心,高级工程师,硕士生导师,管理信息化部副主任,主要研究方向为智慧管理、软件工程,当前主要从事新一代ARP管理业务研究。
    本文中负责新一代ARP业务管理创新技术研究。
    SUN Jianying is currently the senior engineer, master supervisor, and the deputy Director of Management informazation Deparment, Computer Network Information Center, Chinese Academy of Sciences. Her research interests cover intelligent management and software engineering. Recently, she is working on New ARP technical research.
    In this paper, she is responsible for the business perspective and application innovation analysis of New ARP.
    E-mail: jysun@cnic.cn
  • 基金资助:
    中国科学院十三五信息化专项新一代ARP课题(XXH13504-01)

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

YU Jianjun(),LIAO Fangyu(),ZHOU Xiaojun(),SUN Jianying()   

  1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2021-02-28 Online:2021-04-20 Published:2021-05-18
  • Contact: YU Jianjun

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摘要：

【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。

关键词: 科研管理, 数据驱动, 治理创新, 决策支持

Abstract:

[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 cross-disciplinary 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 decision-support, value-added services, big data analysis, and data sharing.

Key words: scientific research management system, data-driven, governance innovation, decision support system