A Gap Analysis of the information storage & retrieval of news images in the archives of the (IRIB) & providing a pattern for resolving the gap

The present study is to analyze the gap between the situation of storage and retrieval of images in the news archives of the Radio and Television of Iran. The present study is a combination and in terms of purpose is in the category of applied research. By adapting the "components of the PAO recovery approach" to the needs of the Broadcasting Organization, the components of image selection, manpower, monitoring strategies, search solutions, infrastructure and recruitment software and illustrations to view each of the six titles obtained Amad The statistical population of the study includes 120 radio and television news agents in Tehran and provincial centers, of which 99 (82.5) were the result of a researcher questionnaire, the effect of which on the storage and retrieval of images was answered. Also, the validity and reliability of the study on exposure and Cronbach's alpha coefficient were 0.94. Data analysis showed that with the satisfaction of users' preferences, the quality of storing and retrieving images in archives and the quality of news broadcasts are improved and cause user satisfaction. The results showed that the gap between the components of search strategies, infrastructure and manpower with a score of 37.7, 36.93 and 36.9 in a critical situation and are far from the standards and are not considered desirable. The gap between the components of image selection, software and compliance with standards with a score of 36.7, 35.6 and 35.2, respectively, is in an unfavorable situation. Also, in all six cases, the mean scores of the current status were lower than the desired status. Using the six components of retrieval approaches, you can play an important role in saving and retrieving images, and users can access images in the shortest time, increase the use of images, and integrate archives seamlessly, without restrictions. Remove time and place. Available to users. Useful research results help integrate image storage and retrieval across different news networks.