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Data Quality Campaign, 2014
This publication provides an overview of the current federal opportunities to help states advance their data-related activities. Although not exhaustive, this list provides a starting point for federal policymakers to support states' work in this area.
Descriptors: Federal Aid, Data Collection, Data Processing, Information Management
Peer reviewedGarcia, Robert; And Others – Government Information Quarterly, 1985
Seven articles by members of the Bureau of the Census discuss various aspects of the census process and uses of census figures. Areas which are discussed include the historical basis of the census; automation of the census process; access to census information and confidentiality; and census taking in developing nations. (CLB)
Descriptors: Access to Information, Automation, Census Figures, Confidentiality
Advanced Technology, Inc., Reston, VA. – 1983
The way that the U.S. Department of Education's Office of Student Financial Assistance (OSFA) should conduct its quality assurance function of monitoring a processing contractor is described. For the following quality assurance procedures, information is provided on the goal of the procedure, activities to be measured, measures, and the role of…
Descriptors: Accountability, Computer Software, Contracts, Data Processing
Advanced Technology, Inc., Reston, VA. – 1982
A framework for monitoring quality control (QC) of processor contracts administered by the Department of Education's Office of Student Financial Assistance (OSFA) is presented and applied to the Pell Grant program. Guidelines for establishing QC measures and standards are included, and the uses of a sampling procedure in the QC system are…
Descriptors: Accountability, Computer Software, Contracts, Data Processing
Advanced Technology, Inc., Reston, VA. – 1983
The issues, options, and procedures for annually measuring overall payment error in the Pell Grant program are specified in detail. Guidelines for establishing a definition of Pell Grant payment error are provided, and the design issues related to error measurement are examined. A comparison is made of options for selecting a study sample and for…
Descriptors: Accountability, Compliance (Legal), Costs, Data Collection


