Methodological approach to quality control of data transformation in an interdisciplinary digital platform

The object of the research are the processes of data transformation in an interdisciplinary digital platform that provides information interaction between subjects of economic, managerial, and scientific activities. The results of the analysis of incoming and outgoing data transformation processes in the digital platform are presented. It is shown that the processing time of transformed data in computing resources depends on the information that these data contain and which is determined by the intentions of the subjects. It is revealed that for economic agents, the parameters of the timeliness of providing information about new knowledge which is transmitted to them by scientific partners are important. The parameters of data processing time in computing resources are classified as data transformation quality parameters which are approved in the contracts of subjects with the platform operator and are taken into account in the requirements for quality control processes. For the first time, a methodological approach to quality control is proposed based on a comparative assessment of the degree of compliance of the actual values of the time parameters of data transformation with their trusted values which are approved in contracts. The practical significance of the methodological approach is to provide the functions of an objective tool for monitoring compliance with the contractual obligations of the operator of the digital platform to the interacting entities.