Information, like any object, has some properties. Such properties of information in computer science are divided into several categories. Consider the main ones.
Attributive properties of information are those properties without which data cannot exist. Firstly, it is the inseparability of data from their physical medium, as well as the linguistic nature of the information. A fairly important area of computer science is precisely the study of a variety of information carriers and languages, as well as the development of new, more modern and advanced ones. However, the information is mainly not associated with a particular medium, nor with a particular language.
Another attribute property is discreteness. The information, data, knowledge, messages contained in the information are discrete. Thus, they characterize factual data, patterns of objects of study, which are distributed in the form of messages consisting of a number, letter, sign or symbol. Information also has the property of continuity, that is, it merges with other data that have been accumulated and recorded earlier. This contributes to the ongoing development.
The pragmatic properties of information are properties that characterize how useful it is to the user. They appear specifically in the process of using information in theory and practice. Novelty and meaning imply the movement of data in a variety of social communications. The value of information is a rather ambiguous concept, since it can be different for different consumers. There are two meanings of value - value and importance. Valuable information at the same time should be complete, reliable, new, useful. However, it should be noted that often the pursuit of reliability and completeness leads to the fact that the data is outdated and becomes completely useless. The cumulative property characterizes the ability to store and accumulate information. And the completeness property determines the degree of correspondence of the information that has been received to its true value.
Accessibility determines the extent to which information is available. Availability is also affected by the availability of adequate methods for interpreting data. Relevance expresses the degree to which information corresponds to a given point in time. This is materiality, importance at the present time.
Irrelevant is called insignificant, unnecessary, or outdated information. When working in conditions that are constantly changing, it is important to have exactly the latest data, that is, those that correspond to reality. The properties of information such as subjectivity and objectivity are also important.
Information is called objective if it does not depend on anyone's judgment or opinion. The concept of objectivity is relative, given that any methods are actually subjective. Based on this, they consider information that all methods introduce the most minimal subjective element to be more objective.
The dynamic properties of information characterize changes in data over time. The concept of information growth shows the movement of data in information communications. The aging property indicates that any information is subject to some influence of time. Also distinguish such properties as clarity, ergonomics, security, integrity, safety. Consistency and relevance of data, their security against unauthorized changes and destruction are raised under integrity. By this term is meant how much the data is not distorted under the influence of accidental failures, interference and equipment failures.