No matter your message, including data to support your claims enhances the validity and impact of whatever you are communicating -- but only if your data comes from a reliable source. Too often, individuals cherry pick data from a variety of ... let’s say “questionable” sources, cobbling together a few statistics that are incomplete -- or worse, completely irrelevant.
Whether you’re communicating to your boss or your consumer, all data starts with a good data source. In this post, I'll go over what a good data source looks like. Then, I'll list a few of my favorite places to look for reliable data and research.
The Components of a Good Data Source
A good data source is ...
Whether you’re working with internal or external data, make sure it is always coming from the primary source. If you come across an interesting data set on Wikipedia or in a magazine article, track down the original data. Without reviewing the primary data yourself, you’ll never know if the methods were flawed, the sample size too small, or the questionnaire biased.
And folks ... friends don’t let friends cite Wikipedia. Remember: It's your responsibility to represent the data in as close to its original context as possible.
If you have questions unanswered by your data, your audience will, too. Your data source should provide enough information to get the big picture as well as any appropriate context. For example, let's say your sales metrics show a significant jump in units sold between April and May -- not too bad!
But looking at the larger set, you see that jump came after a general decline. That’s the full story you want your data to tell.
The world changes quickly. Oftentimes, data that was produced or collected ten years, five years, or even a year ago is obsolete. Always use the most recently published version of the data available. Some data producers, such as the Department of Labor, revise their data on an annual or even monthly basis -- but this is not always the case for every data producer.
Ideally, you'll want your data to be one or two years old at most. Beyond this, use discretion; and in all cases, be upfront about how old the data set is. For example, the graphic below uses data that's a few years old, but they made sure to specify that it's the most recent year available in the bottom lefthand corner.
Verify that the source you choose is relevant, legitimate, and as unbiased as possible. Strong sources include data collected/produced by government agencies, such as the statistics compiled by the U.S. Census Bureau or the Department of Labor. Other top-tier data sources can include industry white papers or academic publications.
Remember that surveys conducted by polling agencies or think tanks, while usable, will often have a political agenda. Therefore, as with the case of aged data, use discretion. Avoid data that is anecdotal, user generated, or based on hearsay.
To judge whether or not a source is appropriate, ask yourself the following:
Who wrote this web page? Does the author have credentials?
Is this web page affiliated with a credible organization?
When was the website last updated?
What is the purpose of the organization that is hosting the website?
Does the author provide a bibliography?
Where to Find Good Data
Luckily, there are many reliable sources that can give you access to a wealth of data on a variety of subjects. Here are a few to get you started.