Data lifecycle management goals are to implement an approach based on policy in order to manage the flow of data and information. It is tightly interlinked with information lifecycle management techniques to ensure that all data pass through a specific set of stages. Three main goals of lifecycle management of data include availability, confidentiality, and integrity, which are essential in information systems management.


Management of data lifecycle can be defined as a set of strategies implemented to manage storage systems of computer peripherals. The problem is finding the best compromise between the quality of the medium and the value of the information recorded on it. Currently, it is already universally recognized that information is an independent resource that contributes to the accelerated development of various areas of human activity. With the development of high-performance computing tools and broadband communication networks for creating databases and organizing access to them, the issues of production, storage and presentation of information have become particularly relevant when creating complex engineering and technical objects. The most widespread concept is the automation of processes in the life cycle of data products and services, where information is a key element of automated systems. Initially, the concept of life cycle was applied to biological and social systems as a set of ideas for studying the mechanisms of heredity in the process of birth, development, adaptation and extinction.

It should be noted that the calculation of the cost of one legal document and a database of legal documents throughout the life cycle is not a trivial task. For example, additive methods for determining the value in monetary terms suggest the possibility of direct and inverse problem solving with the involvement of the expert community. In direct counting, each of the objects of a finite data set is assigned a rank on a selected scale, and then it is assumed that these objects are compared with each other. Then an assessment is made of the value of each of the objects in relation to any object with a predetermined value. If the cost of all the information lifecycle management is known, then by the inverse transformations it is possible to determine the value of one information object. The value of legal information databases is also twofold.

On the one hand, the state is interested in disseminating among the general population and organizing access to legal information databases free of charge to increase citizens’ legal awareness, reduce crime, improve public administration mechanisms, and therefore it is impossible to determine the value of these information resources as a consumer value characteristic. Moreover, the Russian legislation enshrines the rules that ensure the principle of the right to information. On the other hand, the cost of constantly accumulating legal information processed using electronic computers is significant for the state in connection with the implementation of information systems in a secure manner.

Despite the fact that legal information is open to widespread access by citizens, the need to determine the cost of data in managing their life cycle is associated with an analysis of threats and risks of information security and based on them the selection of adequate organizational and technical protection measures.

The stage of the cycle of data concerns the selection or generation of such deep ideas that can ensure the fulfillment of important development tasks. At this stage, a list of all possible ideas suitable for achieving the goals of economic development should be compiled. In the subsequent stages of the project cycle, these and other ideas will be clarified and thoroughly analyzed as societies move through the stages of the project in order to finally determine the combination of activities that will best ensure the achievement of the project goals.