The types and characteristics of new wars and the geographical extent of offensive and defensive fields have shown the importance of information flowAbstract
The types and characteristics of new wars and the geographical extent of offensive and defensive fields have shown the importance of information flow in the processes and systems of military organizations. The amount and complexity of data in military organizations is increasing, and data is increasingly shared across organizational boundaries and mission geographies, and the success of a military organization is highly dependent on the ability to maintain a coherent view of data and use it effectively. Currently, military organizations in the field of data are facing various challenges, including intelligence elites and intelligent command and control, data redundancy, data interactions, and data integrity, as well as data security. This research has been conducted with the qualitative method of foundation data theory with Strauss and Corbin approach. The statistical population of this research is made up of experts familiar with the subject, and 20 of them were interviewed using judgmental and snowball sampling methods. Data analysis was done with MaxQuda software. By using the focus group method and obtaining the opinion of experts, the designed model has been evaluated and approved. The number of 362 identified open codes are placed in the form of 98 concepts and 22 main categories, which are in 6 thematic axes under the titles of causal conditions, including data redundancy, security threats and vulnerabilities, data diversity and volume, network-based and cyber warfare, and background conditions including technological pressure. And capabilities are the basic and reference data of big data. Intervening conditions include the categories of data science experts and mission demands. The categories of scalable data doctrine, data skills and literacy, artificial intelligence, integrated architecture, secure data cycle, data culture are part of strategic conditions. The consequences of the implementation of the data governance maturity model are determined by improving the power of the military organization in the categories of intelligent command and control, intelligence aristocracy, agility and mobility, data quality, data security, integrity and speed, and trust in data. The central phenomenon is the maturity of governance. The designed model has four levels of maturity "limited and disordered, reactive and discrete, active and managed, optimized and governed" and the general characteristics of each level of maturity have also been calculated. The data base approach of research and model design in the military organization has a unique aspect and can facilitate the implementation of data governance in the country's military organizations.
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