Another important distinction is between data and metadata. Here, the term “data” refers to the part of a file or dataset which contains the actual representation of an object of inquiry, while the term “metadata” refers to data about that data: metadata explicitly describes selected aspects of a dataset, such as the time of its creation, or the way it was collected, or what entity external to the dataset it is supposed to represent.
This part is notably helpful for the understanding of differences that separate "metadata" from "data". I was writing a blog post for my weekly assignment. Knowing that data is the representation of the object and metadata describes information the data helps build the definition of the terms in my schema of knowledge. In many cases, metadata even provides resources that either give insights to how the data is collected or/and introduces possible perspectives as to how the data can be seen/utilized in the future. Data can survive without metadata, but metadata won't exist without the data. However, the data that lacks metadata may stay uncracked and ciphered, leading to the data potentially becoming useless in the fundamental and economic growth of human beings.