This chapter provides a guide to key techniques for managing biomedical data. It begins with an overview of various biomedical data types, suggesting the unique attributes of clinical, imaging, genomic, and transcriptomic data, and explores the challenges inherent in handling these complex datasets. The chapter emphasizes the importance of understanding biomedical data formats, focusing on both common and proprietary types, as well as the need for format compatibility and accessibility. It covers data import techniques, including methods for reading flat files, navigating hierarchical data, and managing large datasets, with specialized methods for handling medical imaging, genomic sequences, and transcriptomic data. This chapter also details effective export methods, including strategies for handling large-scale and hierarchical datasets, and methods to export processed imaging and genomic data.