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Hamblin, David J.; Phoenix, David A. – Journal of Higher Education Policy and Management, 2012
There are increasing demands for higher levels of data assurance in higher education. This paper explores some of the drivers for this trend, and then explains what stakeholders mean by the concept of data assurance, since this has not been well defined previously. The paper captures insights from existing literature, stakeholders, auditors, and…
Descriptors: Higher Education, Educational Technology, Stakeholders, Quality Assurance
Sprouse, Anne B. – CAUSE/EFFECT, 1984
Quality assurance is defined and some of the tools of the quality assurance analyst and how they are being used at the Division of Administrative Programming Services at Clemson University are described. Customer involvement and training of the data processing staff to ensure quality products are discussed. (Author/MLW)
Descriptors: Computers, Data Processing, Higher Education, Programing
Blair, Norman A. – CAUSE/EFFECT, 1983
The ability of operating departments of an institution to mechanically gather, summarize, and report "local" data is discussed. Problems are outlined that arise when departments have the ability to produce data and do so with rigorous quality control by the institution's central information management organization. (MLW)
Descriptors: Data Processing, Databases, Higher Education, Information Processing
Reese, Larry D.; Parmenter, Vernon F. – Business Officer, 1994
An effort to enhance quality and efficiency at the University of Florida was designed to produce quick results without involving many employees and focused on the accounts payable department. Flowcharting identified inefficiencies and pinpointed opportunities for improvement in labor-intensive processes, mailings, check registers, reports,…
Descriptors: Case Studies, College Administration, Data Processing, Efficiency
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Chiang, Katherine; And Others – Library Hi Tech, 1993
Describes the creation of an interactive retrieval system for electronic numeric files that was developed at Cornell University's (New York) Mann Library. Topics discussed include user characteristics; special data characteristics; quality control; software; hardware; data preparation; database design and construction; interface; subject indexing…
Descriptors: Academic Libraries, Cataloging, Computer Software, Data Processing
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