The purpose of this guidance is to inform the public about the Department of Defense (DOD) Information Quality practices and guidelines in accordance with Public Law 106- 554, Section 515, otherwise known as the Information Quality Act. The law directed the Office of Management and Budget (OMB) to issue government-wide guidelines that "provide policy and procedural guidance to Federal Agencies for ensuring and maximizing the quality, objectivity, utility, and integrity of information (including statistical information) disseminated by Federal Agencies.
In February 2002, OMB issued a memorandum that all Federal agencies issue and implement Information Quality Guidelines. In response to this memorandum, the OMB guidelines were implemented DOD-wide by Deputy Secretary of Defense Memorandum, Feb. 10, 2003, and apply to the Office of the Secretary of Defense, Military Departments, Chairman of the Joint Chiefs of Staff, Combatant Commands, Inspector General of the Department, Defense Agencies, DOD Field Activities, and all other organizational entities in DOD (hereafter referred to collectively as “DOD Components”).
In April 2019, OMB issued memorandum M-19-15 to reinforce, clarify, and interpret agency responsibilities regarding the requirements of the Information Quality Act (IQA). It reinforces that agencies develop information quality assurance procedures before disseminating information. It also directs agencies to update their Information Quality guidelines, protect the privacy of the public’s data, and post requests for correction on their agency website.
Information Quality is unique in its scope in that it includes influential scientific, financial, and statistical information. The public distribution of scientific, financial, or statistical information that the DOD deems influential warrants a higher quality standard than that of peer review. To ensure the objectivity of influential scientific, financial, or statistical information, it must be capable of being substantially reproduced in accordance with commonly accepted scientific, financial, or statistical standards. This “reproducibility standard” ensures publicly distributed information is sufficiently transparent in terms of data and methods of analysis.