Core Insights - The article highlights the effectiveness of big data supervision in enhancing transparency and accountability in rural collective land management in Shenyang, Liaoning Province [1][2][3] Group 1: Big Data Supervision Implementation - Shenyang's Discipline Inspection and Supervision Commission has established a big data supervision system to monitor rural collective land issues, leading to the recovery of 680 acres of grassland and generating 2.72 million yuan in contract fees for the village collective [1] - The city has developed a comprehensive database and communication mechanisms with relevant departments to improve the efficiency of supervision and management of rural collective assets and funds [2] - The upgraded big data supervision platform has been transformed into a provincial-level system, enhancing the efficiency and standardization of public power supervision across Liaoning Province [2] Group 2: Addressing Corruption and Mismanagement - A big data model has been created to identify and address issues related to improper dining and entertainment expenses within government agencies, leading to the investigation and punishment of officials involved in excessive business receptions [3] - The commission has focused on key areas such as urban and rural subsistence allowances and subsidies for vulnerable groups, utilizing big data to detect and address fraudulent claims [3][4] - Continuous optimization of the digital disciplinary inspection and supervision system is planned to further enhance the effectiveness of oversight and management [4]