An information method for achieving value‐added processing of bibliographic databases in science and technology

The article presents and discusses a methodological procedure based on the functional density of information, which can be used for value‐added processing of bibliographic databases with scientific and technological information to predict and recognise trends in research and development fields. The concept of functional information density can be applied in processing bibliographic databases by specific search fields, such as: number of documents by the publication year, number of articles and patents by year, patent assignee, patent applications and granted patents by country, international patents classification codes, and journal titles. The proposed information procedure was tested on the research topics microencapsulation technology, microencapsulated pesticides, microencapsulated repellents and superabsorbents, and was used as an information support for design of research hypotheses, planning of research, development and marketing of products.