In the current conditions of digital transformation, a role of standards increases significantly. Standards precede innovations and become the basis for their introduction. A current pool of national standards includes over 30,000 documents. However, how is it possible to estimate the amount of this information more definitely? The authors propose a method for estimating the amount of information contained in the standards using the example of standards related to non-ferrous metallurgy group 77.120 in accordance with the All-Russian Classifier of Standards. The amount of information was determined using the introduced value of “the estimated amount of information in the standard” based on a representative sample of standards from group 77.120. The study used a stratified sample, where the parent population was divided into homogeneous parts (strata) according to a certain attribute, and then systematic or simple random sampling was performed. An indicator of the stratification of the database under study was taken as nine subgroups of group 77.120: 77.120.01, 77.120.10, 77.120.20. 77.120.30, 77.120.40, 77.120.50, 77.120.60, 77.120.70, 77.120.99, as well as six time intervals for the adoption of the existing standards: 1970-1979; 1980-1989, 1990-1999, 2000-2009, 2010-2019, 2020-2022. The sample size was 155 standards or 20% of the entire base of standards of group 77.120. The study revealed that for the 1970-1979 and 1980-1989 time intervals the estimated amount of information was 6-8% less than the number of current standards adopted within the specified time intervals. The reverse is true for 2010-2019: the estimated amount of information in this period is by approximately 12% higher than the number of standards. The data obtained for individual subgroups and time intervals allow us to conclude that, as a rule, the standards adopted after 2010 have a much larger estimated amount of information.
Translated title of the contributionAPPLYING AN ALPHABETICAL APPROACH TO DETERMINE THE AMOUNT OF INFORMATION CONTAINED IN STANDARDS
Original languageRussian
Pages (from-to)83-94
Number of pages12
JournalВестник Магнитогорского государственного технического университета им. Г.И. Носова
Volume20
Issue number4
DOIs
Publication statusPublished - 2022

    Level of Research Output

  • Russian Science Citation Index
  • VAK List

    GRNTI

  • 84.00.00 STANDARDIZATION

ID: 33220142