We consider problems on application of databases for information support of metrology. We present a comparison of the characteristics of different types of database management. Our emphasis is on the need to use document-factograplu'c databases in the problems under consideration.We describe the capabilities of the PCBIRS 3.0 system. As an example we consider the database containing data on the State register of measurement instruments.In the 1970s and 1980s data processing systems were used by the Gosstandart Metrological Scientific Research Institute of the USSR to implement an automated system for storage and retrieval of information on metrology and measurement technology (ASNTIM) [1]. The implementation and debugging proceeded very slowly, and the system did not meet the requirements presented to the ASNTIM. Data communication systems at that time were less than perfect, and this complicated timely updating of data. The hardware used for the system (the ASNTIM ran on an ES computer) caused considerable difficulty for end users, resulted in slow response, prevented automatic analysis, required the use of fixed format input and output forms, etc. Similar deficiencies characterized other systems on metrology and measurement technology like the one maintained by Minpribor SSSR [2].The stock of metrological information at Gosstandart of Russia is exceptionally voluminous. It contains data on the standards of Russia and foreign countries, normative and methodological documents, scientific and technical literature on metrology, characteristics of measurement instruments documented in the State register (the State register alone contains information on more that 12,000 registered instruments). This data is necessary for the work at a huge number of institutes and enterprises. And with the current capabilities of personal computers and software, their accessibility and speed, and the development of network technology, we can develop a literate approach to using this mass of information most completely and with the required efficiency 13].Work with such large-scale information flows requires a database management system that is responsible for the entire processing cycle. By this we mean capabilities such as maximum automation of data input from a variety of channels, storage and editing of data, fast content-based search, presentation in convenient form, analytic capabilities, automatic report generation, etc. And this raises the issue of selecting software capable of providing the maximum functionality required in a given domain of application.Contemporary database managers can be divided into two classes according to the method of storing and accessing information.The first class of database managers is traditionally associated with storage of information in the form of structured data and is widely used. The fact is that we are dealing with so-called factographic database managers, where information is represented in the form of named fields of fixed size. In addition to the obvious storage economy, this method of...
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