First: The Content
Content is data and data are the RAW material which weave the stories. If there are data, there are lots of stories, but the process isn't easy as it looks because data need more and more effort to be converted into stories.
There are three cases of data availability:
When data are not available in some countries, and there is no such a legislation to allow it for the public. Or in the case when data can be accessed and published, but the government has its law to punish whoever does so.
When data are available but can’t be easily transferred and not being machine readable. For example, when data are in the form of (pdf) and require extra efforts from the journalist to exert and convert them into machine readable forms. Or in the case when the journalist has not the appropriate tools to transfer the data and has to deal with them manually.
When data are available, clean, and machine readable (and this is rare in Egypt). In that case, the most important step that follows is data verification. Journalists should verify the validity and cleanness of these data and avoid the most common problem which is data interference.
Second: The Context
People say that "Context is the King", which is true. However, a King who stands alone worth nothing. So context without good content has no value at all, and vice versa; content (data) has no value without the convenient context. The value of data is highlighted only when they are arranged within a context, for example a context of comparison or a context where data are being used over intervals of time or a time series. Context is the frame that allows the journalist to tell details of his story.
Third: The Design
Data have different forms of size and shape. Having data presented in tables will not attract the reader's attention at all. That’s why data visualization is super important, as it allows data-driven journalists to employ data in a visual perception and make it easier for the ordinary reader to understand, absorb and analyze as well.