我国高校数据治理体系要素构成、存在问题及解决对策——活动理论视角

Research on the structure,problems and countermeasures of data governance system of Chinese colleges and universities based on Activity Theory

数据治理越来越成为高校科学决策与管理的研究热点。活动理论在分析活动要素影响活动系统展开方面具有显著优势,为高校数据治理体系研究提供了全新视角。本研究以活动理论为视角分析高校数据治理体系构成要素及其存在问题。研究发现,高校数据治理由治理目标、治理主体、治理客体、治理方式四要素构成,目前我国数据治理体系存在诸多问题,主要表现为目标导向的数据治理制度不够完善、治理主体的数据素养亟待提升、治理客体的全程管理存在漏洞、治理方式的构件协同机制尚未形成。为此,高校需充分运用活动理论发掘数据治理的优势,强调目标导向,注重整体协同,进一步健全数据治理规则与制度,提升师生数据素养,加强数据全生命周期管理,优化数据治理构件协同方式,以实现数据治理善治的目标。

Data governance has increasingly become a research hotspot in the field of scientific decision-making and management in colleges and universities.This article mainly focuses on studying the components and existing problems of data governance systems of colleges and universities from the perspective of Activity Theory.The study finds that data governance in universities is composed of four elements:governance goal,governance subject,governance object and governance mode,and there are some problems in the data governance systems in Chinese colleges and universities,mainly including the incomplete goal-oriented data governance institutions,the data literacy of the governance subject needing to be improved,loopholes in the whole-process management of the governance object,and uncoordinated the governance components.Chinese colleges and universities should fully utilize the advantages of Activity Theory to guide data governance,emphasize goal-orientation and overall coordination,further improve the data governance institutions and the data literacy of faculty and students,strengthen the data life cycle management as well as optimize the collaboration in the components of data governance,so that the goal of a good data governance in colleges and universities can be achieved.