Data becomes a high-value asset or a new type of wealth. Valid data is one of the keys to government organizations carrying out public services. The administration of the government by using information technology is a challenge for the Indonesian government. The electronic-based government system policy aligns with one Indonesian data set to accelerate the implementation of information technology-based public services and improve data management problems. The Directorate General of Corrections (GDC) is one of the implementing elements of the Ministry of Law and Human Rights (MHLR), responsible for formulating and implementing policies and technical standardization in the correctional sector. Correctional institutions as one of the pillars of law enforcement in Indonesia. Efforts to change the process of handling criminal cases based on information technology have been carried out by the government, which helps accelerate law enforcement officers' tasks in handling quality cases. An integrated system for handling criminal cases based on information technology performs a data exchange mechanism between law enforcement officers to fulfill the values of justice, legal certainty, and expediency. The report on implementing the national strategy for preventing corruption in 2021, strengthening the system for handling criminal cases in an integrated manner based on information technology, got 27.8% results. To improve data quality in data exchange, good data management is needed. Therefore, this study aims to measure the maturity of the data governance program at DGC and provide corrective measures to increase the maturity of the data governance program. The Stanford data governance maturity measurement tool in this study was used to measure the maturity of the data governance program. The results obtained are the maturity level of the data governance program with an average of 1.93 (initial), with the foundation component having an average value of 2. On the other hand, the project component has an average value of 1.82. Recommendations for increasing the maturity level of data governance at level three consist of thirty recommendations.