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Showing 1 to 15 of 31 results Save | Export
Arndt, Timothy; Guercio, Angela – International Association for Development of the Information Society, 2014
Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…
Descriptors: Higher Education, College Students, Postsecondary Education, Data Collection
Peer reviewed Peer reviewed
Weil, Henry – Change, 1975
Describes the New York Times Information Bank which indexes 66 journals and newspapers plus the New York Times, and has been called the "ultimate data bank." (PG)
Descriptors: Data Processing, Databases, Higher Education, Information Processing
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
Peer reviewed Peer reviewed
Balderston, Frederick E. – New Directions for Institutional Research, 1974
Discusses how data systems can be designed to serve not only operations but also higher-level management and planning with observations about information as a political as well as an administrative tool. (Editor/PG)
Descriptors: Administration, Databases, Educational Planning, Higher Education
Joplin, Alan L. – 1980
The information needed for informed decision making and planning by institutions of higher education can be made available through the establishment of carefully constructed databases. This handbook outlines the characteristics of databases, the needs databases meet, the key factors around which they must be organized, the advantages they offer,…
Descriptors: Data Analysis, Data Collection, Databases, Decision Making
Arns, Robert G.; Curran, Fred A. – CAUSE/EFFECT, 1983
Strategic planning and strategy implementation in colleges and universities are examined and the implications for the design of information systems are discussed. At the University of Vermont it has not been necessary to decentralize access to major databases for strategic planning or strategy implementation purposes. (MLW)
Descriptors: Change, College Administration, Databases, Decision Making
Peer reviewed Peer reviewed
Heydinger, Richard B.; Norris, Donald M. – New Directions for Institutional Research, 1976
The expanding networks of computer hardware, software, and organizations for controlling them and the institutional data bases they access are described. Improvements are making the data sources accessible but raise some new problems for data managers and institutional researchers. (Author/LBH)
Descriptors: Computer Science, Data Processing, Databases, Higher Education
Robinson, Robert J. – 1976
This paper proposes construction of a separate data base environment for university planning information, distinct from data bases and systems supporting operational functioning and management. The data base would receive some of its input from the management information systems (MIS)/transactional data bases and systems through a process of…
Descriptors: College Administration, Computer Programs, Data Processing, Databases
Bryson, Charles H. – 1977
Discussed is the reporting quandary at higher education institutions. These points are appraised: the clearinghouse function, data definitions, and the data base management function. The author warns against the suggestion that the institutional research office should assume the responsibility for all reports prepared by and departing from the…
Descriptors: Administration, Administrators, Clearinghouses, Databases
Peer reviewed Peer reviewed
Schwartz, Helen J. – Bulletin of the Association for Business Communication, 1985
Points out the need for informed and experienced users of data bases. Discusses the definition of a data base, creating a data base for research, comparison use, and checking written text as a data base. (EL)
Descriptors: Business Communication, Databases, Higher Education, Information Processing
Staman, E. Michael – CAUSE/EFFECT, 1986
One of the areas most often neglected by those responsible for information systems in colleges and universities relates to ownership, privacy, confidentiality, and security of data. Background information and definitions are provided, and a suggested environment is described. Model recommendations for institutional policy are offered. (MLW)
Descriptors: College Administration, College Environment, Computer Software, Confidentiality
Steingraber, Jack K.; Kunkel, Douglas F. – CAUSE/EFFECT, 1982
The implementation plan, database design and data relationships, and benefits achievable through an integrated online/database approach to a university information system are presented. The core of the Washington State system is a central name and address file. (Author/MLW)
Descriptors: College Administration, Data Processing, Databases, Higher Education
Byers, Maureen – 1975
The Information Exchange Procedures (IEP) developed by the National Center for Higher Education Management Systems (NCHEMS) are a set of standard definitions and procedures for collecting information about disciplines and student degree programs, outcomes of instructional programs, and general institutional characteristics. A fundamental purpose…
Descriptors: Costs, Curriculum, Databases, Decision Making
Peer reviewed Peer reviewed
Manock, John J.; Crater, K. Lynne – Journal of the Society of Research Administrators, 1985
Current issues in selecting, structuring, and implementing microcomputer database management systems in research administration offices are discussed, and their capabilities are illustrated with the system used by the University of North Carolina at Wilmington. Trends in microcomputer technology and their likely impact on research administration…
Descriptors: Computer Oriented Programs, Computer Software, Computers, Databases
Taylor, Peter D. – CASE Currents, 1983
Publications managers can control production costs, schedule jobs, and maintain correspondence, records, and inventory in more detail and in less time by using microcomputers. Four steps to set up a system are identified: define data, standardize data, create datafile, and maintain datafile. (MLW)
Descriptors: Computer Oriented Programs, Computer Programs, Data Processing, Databases
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