[IT-10612] Terminology and Planning Your Data Cleaning - Learning Resource (01 Sep 2021)

Description
Fundamentals: Terminology: Good data cleaning starts with understanding the language of data. In this module, you'll learn the key terms used to describe data quality, standards, databases, field types, character encoding, tables, relationships, and data structures. You'll explore why standards such as Darwin Core matter, how different types of data are stored, and how to plan a data migration. This foundation prepares you to clean, organize, and manage collections data with confidence. Wrapping Up: Applying Data Cleaning Fundamentals: This final module brings together everything you've learned about data cleaning. You'll review key concepts including data relationships, field types, planning, standards, and tool selection before applying them in realistic collections data exercises. By mapping fields, restructuring data, and preparing information for migration into standards such as Darwin Core, you'll strengthen your practical skills and assess your progress through post-course activities.