id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
iassist-223	Lasko, Lisa; Dodd, Sue A.; Ruus, Laine G.M.; DeVries, John; Morrison, Greg	Action Group Reports	1978	12	.pdf	application/pdf	4850	181	45	Arguments to be presented in the paper are: that outside the field of quantitative research, social science numeri- cal data files are probably the least understood category of MRDF and, consequently, are in tfie most need of attention and clarification; that the terminology and definitions used to describe MRDF are confusing and often misleading and, therefore, a uniform standard for this medium is necessary; that social science numerical data files make up the largest on-going collection of MRDF and, consequently, this body of information is in immediate need of bibliographic control; that social science numerical data files are cited more frequently in scholarly journals than the two MRDF examples listed in the ANSI Stan- dard (i.e., computer programs and bibliographic data files), and there- fore, the need for relevant social science examples seems justified; that this justification is magnified by the fact that the manner in which social science data files are cited in the literature plays an important role both in terms of access and in terms of secondary an- alysis; and, that the two examples given (i.e., computer programs, and bibliographic data bases) are significantly different from the characteristics of social science numerical data files as to be less than helpful. Sue Dodd, Data Library, Insitute for Research in Social Sci- ences, Manning Hall, University of North Carolina, Chapel Hill , North Carolina 27514 Report of the Joint Canadian-United States Action Groups on Classification (C AG) Submitted by Sue A. Dodd, University of North Carolina Members Present Canada Martha Amschutz, Canadian Radio-Television Commission Krystyna W. Dynowski, University of Western Ontario Sue Gavrel , Public Archives of Canada, Ottawa Katrin Horowitz, Library of Consumer & Corporate Affairs Hans G. Schulte-Albert, University of Western Ontario United States Sue A. Dodd, Ch, University of North Carolina Gertrude Lewis, Rutgers University Mimi Schade, Brookings Institution Philip Sidel, University of Pittsburgh Agenda topics : Current problems and associated tasks within the mandate of the Classification Action Group include developing (1) examples and guidelines for bibliographic references for social science numerical data files, (2) a cata- loging-in-production scheme for major producers of social science data files, (3) a more universally based classification scheme for social science data files; and, reviewing (4) the cataloging efforts to date and discussing any or all related problems and (5) existing printed thesauri in the social sciences in terms of their future applications to data files.	cache/iassist-223.pdf	txt/iassist-223.txt