The construction sector is encountering a paradigm transition as digital technologies become more widely adopted. In this environment, data management is becoming increasingly important as projects get more complicated and larger. This chapter provides a comprehensive exploration of data management within the construction industry. It delves into the systematic processes and strategies used to collect, store, analyze, and utilize data throughout the project lifecycle. Through theoretical frameworks and practical examples, readers gain insights into the various types of data generated in construction projects, including project schedules, cost estimates, building information models (BIM), and sensor data from construction equipment. The chapter examines the importance of data quality, security, and interoperability in ensuring effective data management practices. Additionally, it explores emerging technologies such as cloud computing, Internet of Things (IoT), and data analytics and their applications in construction data management. The recommendations of this chapter render significant insights for stakeholders, policymakers, and academicians to leverage the power of data management in construction. By understanding the principles and practices of data management, construction professionals can harness the power of data to make informed decisions, improve project efficiency, and drive innovation in the construction industry.