I think that the reason behind data's lack of context is the reluctance in making extra column for data's description and the inconsiderate and misleading vision that those in technologies hold when they put forth that data should be clean and concise.
I encountered the insufficient provision of data multiple times and I found it extremely inconvenient when trying to use downloaded online reports and attached them to my work experiences as a way to illustrate the efficient changes in driving audiences for a social media platform (Facebook). I used to help run an facebook page for a student organization. After being done with the role, I went to the "Insights" section of Facebook, hoping to download the report of increases in Page Likes, Visits, and Interactions during the period that I was an admin of the page. It took me several glitches to download the report (because it was a year-long term). When the pdf file was ready to be viewed, I was surprised, because they did not mention the years I was working, the name of the student organization, and other categorizations that should have been highlighted. Apparently, it's not hard to include the years or even the name because they were included in the filter when I wanted to extract certain part of the report and because it was the source where they took the data from, respectively. This laziness in showing competent data for analysis was desperate, and I had to add extra analysis to it. Even after I finished with the "extra work", I started to question to validity of the report I was downloading. Would it be trustworthy anymore, because without my clarification, no analysis could be made even by a person involved in data science field. Even if they could, it would take them a while to collect other external information before making clear of the data presented to them.
Understanding and constantly being bothered by this ongoing problem gives me justification to call for a more thorough data translation and presentation process. More questions should be raised and answered regarding what might a user wonder about this dataset when encountering it.