Data security governance in big data industry mechanism logic and order construction

By applying the data life cycle theory, this study provides a systematic logical progression for the data security governance of the big data industry, linking the internal and external governance processes, dividing them into the four phases of data collection, data processing, data utilization and data maintenance, and carrying out risk analysis and deconstruction, and exploring their external characteristics and internal causes. Through the perspective of "system-technology-society" trust mechanism, a cyclic analysis framework combining internal and external aspects is constructed in the context of data security governance of the whole life cycle of the big data industry, and this cycle is effectively operated through the trust mechanism, which provides an effective mechanism and governance path for deconstructing the risk of data governance of the big data industry and realizing effective governance.