Data Dictionaries. Sounds like a blast from the past, right? Wrong. This simple, long-standing tool is even more relevant to us today than it ever was in the past. Working with data people every day, I know what it takes for our analysts and data engineers to go through the data and make it easier to analyze (it's a known fact that 80% of their time is spent preparing and managing data for analysis). And as more data is collected and stored, data dictionaries will become a much-needed lifeline in this ever-growing sea of data.
So what are data dictionaries, and how can they help us with all this complex data? A data dictionary, as defined by the UC Merced Library, is a "collection of names, definitions, and attributes about elements that are being used or captured in a database." Essentially, it is a communications tool that defines the critical information in a business-focused way, typically displayed in a spreadsheet format.
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