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Roistacher, Richard C.; And Others – 1980
This manual presents detailed descriptions and examples of standards and techniques for formatting and documenting machine-readable data files. The descriptions of syntax and stylistic elements are independent of whether documentation is produced manually or as a machine-readable text file. The manual also discusses rules of good practice for…
Descriptors: Data Processing, Databases, Documentation, Information Retrieval
Peer reviewed Peer reviewed
Duncan, Joseph W. – Library Trends, 1982
Overview of the federal statistical system covers the central coordinating office, data access policy, "Directory of Federal Statistical Data Files," and effect of technology on data use. Source documents which aid in assessing social statistics are listed. A sample abstract from the directory and six references are appended. (EJS)
Descriptors: Annotated Bibliographies, Databases, Federal Government, Federal Programs
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Kimbrough, Kenneth L. – 1982
This guide is designed to introduce potential users of the California Language Census data to a means of accessing that data using an online, interactive computer system known as "1981 LC." The language census is an actual count of the numbers of pupils with a primary language other than English in California public schools as of March 1…
Descriptors: Bilingual Education, Census Figures, Computer Oriented Programs, Computer Programs
Rodriguez, Esther M., Ed.; Lenth, Charles S., Ed. – 1991
This compendium provides a guide to data collections in higher education focusing on sources that are national in scope, and updated and made available on a regular or periodic basis including surveys, data bases, reports, and statistical digests. These sources are divided into nine broad categories, each category contains separate entries for…
Descriptors: College Libraries, College Students, Comparative Analysis, Databases
United Nations Educational, Scientific, and Cultural Organization, Paris (France). Div. of Statistics on Education. – 1976
An international numerical coding structure is presented for classification of data on education according to level category, educational field, and program type. Explanation of the overall system and a guide for its use is followed by a listing of levels, fields, and programs of education in coded order. The various educational program…
Descriptors: Classification, Codification, Comparative Analysis, Data