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Download full textAshley, William L., Comp. – 1977
Designed primarily as a basic reference to assist researchers and planners in the study of factors related to occupational mobility and skill transfer within and between occupations, this catalog consists of two major sections. Section 1 contains the abstracts of the data bases. These abstracts include selected key variables organized in a…
Descriptors: Catalogs, Classification, Databases, Information Sources
Weller, Carolyn R., Ed. – 1992
Rules and guidelines are provided for ERIC catalogers and editors engaged in capturing bibliographic data for the documents and journal articles entered into the ERIC database. A general discussion of the principles of ERIC cataloging, definitions used, use of mandatory vs. optional data elements, etc. is provided in the Introduction. The body…
Descriptors: Cataloging, Check Lists, Classification, Databases
Brandhorst, Ted, Ed. – 1982
Rules and guidelines are provided for ERIC catalogers and editors engaged in capturing bibliographic data on the documents and journal articles entered into the ERIC database. The material is organized by data element: Accession Number, Price Code, Pagination, Publication Date, Title, Journal Citation, Language, Publication Type, Descriptors,…
Descriptors: Cataloging, Check Lists, Classification, Databases
Gilreath, Charles L. – 1984
This document is the newest revision of the third manual documenting the National Agricultural Library database. Since it began in 1970, the AGRICOLA database has continued to grow and to change steadily; new subfiles have been added, database record formats have been expanded, and subject category code schemes have been modified several times.…
Descriptors: Agriculture, Cataloging, Classification, Databases
Snow, Bonnie – Database, 1985
Focuses on indexing refinements in major life science databases--those specializing in biological/biomedical literature coverage--which influence cross-life searching decisions. Tables included highlight database descriptions, comparisons in coverage, ease of access (indexing of secondary concepts or search modifiers), chemical substance indexing…
Descriptors: Biological Sciences, Chemical Nomenclature, Classification, Comparative Analysis
Hunt, E. Stephen – 1993
The International Standard Classification of Education (ISCED) was developed by the United Nations Educational, Scientific, and Cultural Organization in the 1960s and 1970s to be the recognized international standard for reporting and interpreting education program data. Creating a U.S. crosswalk to this system has been a goal of research…
Descriptors: Academic Standards, Classification, Comparative Analysis, Data Interpretation
Data Courier, Inc., Louisville, KY. – 1983
This manual is designed to assist searchers in developing cost-effective techniques for searching ABI/INFORM, a database which provides worldwide coverage of management trends, tactics, and techniques, citing articles from more than 550 business and management journals in English and other languages. ONTAP ABI/INFORM, a subset of the database, is…
Descriptors: Administration, Business, Classification, Databases
Vance, David – 1975
This manual describes information processing procedures for Museum Computer Network (MCN) systems. The first section contains general rules for preparation of input: conventions for all data; conventions for controlling the appearance of output; conventions for automatic sorting of data; conventions for user specified sorting of data; and…
Descriptors: Classification, Computer Programs, Data Collection, Data Processing
George Washington Univ., Washington, DC. Social Research Group. – 1979
This manual introduces the Interagency Research Information System (IRIS), a database dealing with federally-sponsored research and development efforts relating to children and youth, and outlines the general uses of the IRIS database. The classification for the subject description of materials covered by the database is described and the…
Descriptors: Adolescents, Agency Cooperation, Classification, 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
