This course provides an introduction to the different types of data generated for bioinformatics analyses and data management principles required for scientific rigor and reproducibility. Students will explore different data sources, including sequencing data, 'omics data (e.g., proteomics, metabolomics, lipidomics), imaging data, and clinical data. The course will also cover data organization through topics such as management and curation of metadata, downloading data from and submitting data to public repositories, and using databases versus spreadsheets and tables.