Research on Data Capability Model Construction of Scientific Research Team Facing Knowledge Innovation postprint

Abstract: [Purpose/significance] This paper studies the core elements of knowledge innovation in research teams under data intensive research environment, and proposes a data capability model for knowledge innovation of research teams, identifying the ability structure in the ability factors. [Method/process] Through literature review, this paper summarizes the research dimensions of knowledge innovation capability of scientific research teams in traditional environment, analyzes the scientific research environment formed by the rapid development of science in the data intensive environment, sketchs 6 dimensions of the research team in the new environment, and then constructs a data capability model to promote the knowledge innovation.[Result/conclusion] The research team needs to have data awareness, data retrieval and data discovery capability, data organization, integration and management capability, data description and storage capability, knowledge and rules analysis from the data capability, data analysis and evaluation capability. These capabilities promote knowledge innovation in research teams in the form of stimulating knowledge discovery, knowledge management, knowledge integration, knowledge sharing and knowledge evaluation.