U.S. Government Peer Review Policies - Bulletin

Bulletin

OMB’s peer review bulletin requires that US federal regulatory agencies submit all "influential scientific information" to peer review before the information is publicly disseminated. The Bulletin defines "scientific information" as:

"factual inputs, data, models, analyses, technical information, or scientific assessments related to such disciplines as the behavioral and social sciences, public health and medical sciences, life and earth sciences, engineering, or physical sciences."

This Bulletin defines "influential scientific information" as

"scientific information the agency reasonably can determine will have or does have a clear and substantial impact on important public policies or private sector decisions. In the term 'influential scientific information,' the term 'influential' should be interpreted consistently with OMB's government-wide information quality guidelines and the information quality guidelines of the agency."

As noted in the preceding quotation, the Bulletin must be read in conjunction with "OMB's government-wide information quality guidelines and the information quality guidelines of the agency." These guidelines govern the quality of all information disseminated by most US government regulatory agencies. These guidelines are required by a US statute enacted in 2001 called the Data Quality Act and also known as the Information Quality Act ("IQA"). OMB states that it prepared the peer review Bulletin pursuant to OMB's authority under the DQA.

The peer review Bulletin provides detailed guidelines for peer review of influential scientific information. The Bulletin applies more stringent peer review requirements to "highly influential scientific assessments,"

"which are a subset of influential scientific information. A scientific assessment is an evaluation of a body of scientific or technical knowledge that typically synthesizes multiple factual inputs, data, models, assumptions, and/or applies best professional judgment to bridge uncertainties in the available information."

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