Which file format is self-descriptive, readable by both humans and machines, and facilitates data sharing?

The chosen answer is Extensible Markup Language (XML), which correctly represents a file format that is self-descriptive, easily readable by both humans and machines, and promotes data sharing.

XML achieves self-descriptiveness through its use of tags to define the structure and meaning of the data. Each piece of data is enclosed within tags, which makes it clear to both humans and machines what the data represents. This tagging system provides context, enabling users to understand the data's purpose and format, regardless of familiarity with the specific content.

In addition, XML is designed to be platform-independent, meaning it can be utilized across various systems and applications without concern for compatibility issues, which emphasizes its role in facilitating data sharing. This versatility makes XML particularly valuable in scenarios where data interchange among diverse systems is crucial.

When comparing this with other options, while JSON serves a similar purpose in terms of being human-readable and supporting machine parsing, it lacks the extensive metadata capabilities that XML offers due to its simpler structure. Delimited text file formats like CSV and TSV, while easy to read and write, do not inherently include information about data types or relationships and may lead to ambiguity in complex datasets. Similarly, XLSX files are binary and not as easily readable by humans without