- (1.1) The Four Layers of Data Organization - (1.2) Tidy Data as a Structural Standard - (1.3) Portability -- Importing & Exporting Data - (1.4) Collaborative Data Storage & Access %% ORIGINAL - Files and directories - Hierarchical organizational structure in modern operating systems - File naming conventions - Filename extensions (purpose, common types, show/hide settings in OS) - Path specifications (absolute vs. relative) - Filesystem format considerations - Data types - General framework - Internal types (storage modes) and data object classes in R - Basic types of data files - Plain text vs. binary - Filename extensions revisited (connection between extensions and file types) - Flat files (tabular and hierarchical/nested structures) - Databases (primarily relational; mention of NoSQL models) - File format selection criteria: When to use CSV vs. RData/RDS vs. Excel vs. databases - Tidy data principles - Wickham's tidy data framework - Long vs. wide tabular formats - Conversions between formats - Metadata - Types and purposes of metadata - Metadata standards and best practices - Collaborative data storage - Shared drives and cloud services - File locking and concurrent access issues - Naming conventions for team environments - Role-based access in research teams %%