The methodological approach to the evaluation of the stability of the digital data in the information systems

When developing information systems aimed at long-term storage of digital data, it is necessary to think over solutions that allow not only to ensure storage security, storage reliability, but also to ensure the safety of digital data in the event of a possible destabilizing effect, including a catastrophic one. That is, there is a need to ensure the stability of digital data under natural, man-made, anthropogenic or other stored influences. The first step towards digital data resilience is to assess data resilience. The aim of the work is to develop a methodological apparatus for assessing the stability of digital data in information systems operating in conditions of disasters and destabilizing factors. The article presents a methodological approach to assessing the stability of digital data, including long-term storage. The stability of digital data to destabilizing influences in the article is understood as the ability to recover in a minimum period of time both the data itself and the operability of applications responsible for the interpretation of this data, as well as the operability of other software and hardware, without which the use of digital data is not possible. The author of the article proposes a methodology for creating a mathematical model for assessing sustainability, presents a model for assessing the sustainability indicator in general. The main steps for the development of a mathematical model of stability are described. Areas of further research on the development of methodological and algorithmic apparatus for modeling the stability of digital data have been identified. The methodological approach proposed in the article can be used to solve the problems of stability of digital data of a fairly wide class of applied information systems operating in conditions of disasters and destabilizing factors. The proposed approach presupposes redundancy of software and hardware of information systems, additional time spent in the design for compiling models, additional costs for storing the "history" of the functioning of information systems, description of destabilizing factors, etc. However, according to the author of the article, this is necessary and justified to ensure the safety of valuable digital data with a long storage period.