So, what does this mean for you? How can you start creating your own data-driven journalism?
Here are four beginning steps to get you started.
Collect your data
The cornerstone of any piece of data journalism is, of course, its data. Any piece of data journalism you create starts here.
There are two places to start looking for data pools: the public sector and the private sector.
Public Sector
The public has access to a lot of data. Government websites like hungary mobile numbers list the Bureau of Labor Statistics provide niche and detailed data. Searching Data.gov is also effective, allowing you to search over 295,000 federally compiled data sets.
Additionally, you can Google “data release calendar,” and the search results will give you a list of all the publications scheduled to release new data reports.
This is an excellent way to mine data and ensure that your data journalism is timely. The news world moves fast, and you must publish while data is still relevant.
Google search results for the keyword “data release calendar”
Screenshot provided by author
Pro tip: Try Googling *your industry* + “data release calendar.” Stats and reports that are most relevant to your company and product will appear.
Private Sector
Private sector data comes from your own company or companies within your industry that you have surveyed.
Hubspot has published many examples of data journalism based on private data. They often poll their users to get large, comprehensive studies on marketing. People in the industry then engage with this content, share it, and link to it, creating a robust feedback loop for Hubspot’s content.