Open AccessA software platform for constructing model-driven systems for primary data consolidation
Author(s) -
Aleksei Aleksandrovich Korobko,
Anna V. Korobko
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1679/3/032056
Subject(s) - computer science , software , consolidation (business) , data collection , data mining , completeness (order theory) , software engineering , data science , programming language , mathematical analysis , statistics , mathematics , accounting , business
The effectiveness and validity of decisions in all subject areas depend on the completeness and reliability of the information base. Despite the development of information technology, some part of data is collected manually. This is important for the tasks of updating normative references, recording results of observations and laboratory studies, and statistical reporting. The paper describes the authors’ approach to building typical model-driven data collection systems. The approach includes the original conceptual model, the order of building systems by forming a control model and a set of algorithms for the construction of the system. Theoretical results form the basis of a software platform for building typical model-driven systems for collecting and consolidating primary data. The paper describes the procedure of constructing a data collection system on the basis of the platform using the example of the Soil Condition Research System. The software platform provides the systematization of consolidated data and their consistent storage. In addition, the control model of the system is a formal description of its subject area and may be useful for exploring the data collected.