Utilizing Data Spectrum to Promote Data Interoperability Across Industries and Countries

Interoperability of industrial data is crucial for promoting digital transformation of industries and grasping the trend of integrated development of industries. This study starts with data standards and characterizes the level of data standardization through quantitative statistical results of industry standard construction at nodes in the industry’s ecological chain. The difficulty of data interoperability between industries is characterized by quantitative statistical results of differences in overall standard construction. The corresponding relationships between international industry and standards’ scores as well as nation, industry and international standards’ scores are both examined, and two major tools, data spectrum and data light wave, are pioneered, which build a visual measurement system for the interoperability level of industrial data. By using data spectrum and data light wave, the scope of data interoperability research can be further expanded, then a cost evaluation system for data interoperability can be explored; Guide the direction of data standard construction and optimize the industrial data governance architecture; Identify obstacles to data flow in the industrial ecosystem and guide the path of digital development in the industry.