Statistiques 2004-2005 et 2005-2006 des bibliothèques universitaires et de recherche au Canada

Commentaire de M. Timothy Mark Executive Director / Directeur général Canadian Association of Research Libraries / Association des bibliothèques de recherche du Canada. Room / Pièce 239. 65 University Private / 65 université privé. Ottawa ON K1N 9A5 Tel / tél : 613.562.5385 Fax / téléc : 613.562.5195 www.carl-abrc.ca «J'ai lu avec beaucoup d'intêret et d'enthousiasme l'article Statistiques 2004-2005 et 2005 des bibliothèques universitaires et de recherche au Canada qui vient de paraître dans la revue Documentation et bibliothèques. Permettez-moi de vous féliciter, madame, sur un article qui démontre un haut niveau de recherche et d'analyse. A titre d'intérêt, l'article sera mentionné dans notre publication hebdomadaire "Cyberavis" demain. ( Prière de consulter le site web de l'ABRC). Recevez, madame, mes salutations less meilleures. Tim Mark. (Courriel daté du 14 février 2008) ==========================================

Trend analysis in scientometrics

The thesis investigates the properties of two trends or time series which formed a:part of the Co-Citation bibliometric model "X~Ray Crystallography and Protein Determination in 1978, 1980 and 1982". This model was one of several created for the 1983 ABRC Science Policy Study which aimed to test the utility of bibliometric models in a national science policy context. The outcome of the validation part of that study proved to be especially favourable concerning the utility of trend data, which purport to model the development of speciality areas in science over time. This assessment could have important implications for the use of such data in policy formulation. However one possible problem with the Science Policy Study's conclusions was that insufficient time was available in the study for an in-depth analysis of the data. The thesis aims to continue the validation begun in the ABRC study by providing a detailed.examination of the characteristics of the data contained in the Trends numbered 11 and 44 in the model. A novel methodology for the analysis of the properties of the trends with respect to their literature content is presented. This is followed by an assessment based on questionnaire and interview data, of the ability of Trend 44 to realistically model the historical development of the field of mobile genetic elements research over time, with respect to its scientific content and the activities of its community of researchers. The results of these various analyses are then used to evaluate the strenghts and weaknesses of a trend or time series approach to the modelling of the activities of scientifiic fields. A critical evaluation of the origins of the discovered strengths and weaknesses.in the assumptions underlying the techniques used to generate trends from co-citation data is provided. Possible improvements. to the modelling techniques are discussed.