Machine-readable document

Such documents are distinguished from more general machine-readable data by virtue of having further structure to provide the necessary context to support the business processes for which they are created.

Unstructured information is also ill-suited for records management functions, provides inadequate evidence for legal purposes, drives up the cost of discovery in litigation, and makes access and usage needlessly cumbersome in routine, ongoing business processes.

[5][6] Moreover, more than two decades after a major and formerly highly respected auditing firm, Arthur Andersen, met its demise due to a records destruction scandal, record-keeping practices became a central issue in the 2016 Presidential election.

Section 10 of GPRAMA requires U.S. federal agencies to publish their strategic and performance plans and reports in searchable, machine-readable format.

Extensible Markup Language (XML) is a World Wide Web Consortium (W3C) Recommendation setting forth rules for encoding documents in a format that is both human-readable and machine-readable.

Each PDF file encapsulates a complete description of the presentation of the document, including the text, fonts, graphics, and other information needed to display it.

A key feature is that every node in a decentralized system has a copy of the blockchain so there is no single point of failure subject to manipulation and fraud.