Good quality data is essential for ensuring that the BLM’s decisions are based on a solid factual basis. The right quality is the quality that minimizes the risk of failure. For BLM, data quality means “fitness for the intended use”. Data quality is being recognized as an essential “best practice” in industry. Quality data and analysis help a decision maker increase confidence in the correctness of his/her. It also provides documentary evidence of the basis for that decision to those who might challenge it.
The Bureau of Land Management (BLM) is committed to collecting and maintaining has published its Information Quality Guidelines (40KB PDF Format) in accordance with direction provided on February 22, 2002, by the Office of Management and Budget (OMB) and the Department of the Interior's Data Quality Guidelines, published October 1, 2002. These guidelines are intended to ensure that any information disseminated by the BLM will be high quality, accurate, useable information. The Guidelines also provide the mechanism for the public to challenge the quality of the information used by the BLM and to receive a response to those challenges.
BLM responses to challenges under the Information Quality Act can be accessed at Information Quality Act Correspondence.
The BLM also utilizes Peer Review to determine whether the information and conclusions developed from them are accurate. Peer review is the process whereby data and analyses are examined by an independent reviewer to ensure that the information and conclusions are free of bias and can be defended on the basis of accepted practices in the discipline. To track Peer Review progress for “Influential” or “highly influential” scientific assessments, please refer to BLM's Peer Review Agenda.