A healthcare company is planning to develop a machine learning model to predict patient readmission rates based on historical patient data. The data science team needs to create a data repository that integrates various types of patient data such as demographics, previous medical history, medication records, and lab test results. Which strategy should the data engineering team use to identify and organize the primary data sources effectively, ensuring the data is accessible and formatted suitably for training the machine learning model?