Generally, information systems dealing with physical objects have to solve issues regarding storing and managing individual properties of physical objects. Information systems with focus on individual properties of objects are referred to as information systems based on individual object properties. Small and medium-sized companies, while competing with big enterprises and international corporations, need data management systems that can provide benefits such as gradual implementation options, and distribution of integration costs, autonomous operation, etc. The traditional data management system theory states that centralized data managing systems are among the most effective data storing and managing methods. This data managing method has its risks, limitations, and problems, thus, systems that are compatible with it cannot provide maximum competitiveness that is needed. In addition to centralized data management systems, there are also decentralized data management systems, but they have similar risks, limitations, and problems. This situation can be remedied by developing a data management system conception that corresponds to necessities of the systems based on object individual properties. In this thesis, a conception is developed for decentralized data management systems based on object individual properties. This conception has been designed specifically for systems based on individual object properties in order to – unlike the traditional data management systems – provide possibilities to develop information systems with lower risks, limitations, and problems. In the beginning, criteria are set for systems based on individual object properties. The criteria are set, based on necessities of systems based on object individual properties and on basic tendencies for the development of state-of-the-art information systems. An examination of traditional data management system conception was performed that included rating conformity to the set criteria. Based on the performed study, it is concluded that none of the traditional data management system conceptions fully meets the set criteria. Thus, theoretical basis was developed for a conception that includes types of operation objects and object interaction scenarios. Object properties were categorized and groups of attributes and rules were defined. Conception examination was performed according to previously set criteria. In order to practically implement this conception, data exchange format extensions were proposed for data storing and managing purposes. The theoretical basis is used for developing software complex that includes implementations of data storing and managing formats (the existing format extensions) and software which provides creation and implementation of projects based on this conception. Using the developed software complex, practical implementations of various data managing tasks are shown. The main results of this thesis are reported in 14 reports in 12 international conferences and published in 11 publications. The thesis includes introduction, 4 chapters and conclusions. It contains 196 pages, 38 figures and 14 tables in the main text, 264 titles large bibliography and 7 appendixes.