Automating the work at KSU scientific council: A case study on using an imaging database to manage the weekly scientific council meetings

Abstract

Today, many institutions and organizations are facing serious problem due to the tremendously increasing size of documents, and this problem is further triggering the storage and retrieval problems due to the continuously growing space and efficiency requirements. This problem is becoming more complex with time and the increase in the size and number of documents in an organization. Therefore, there is a growing and continuous demand to address this problem. This demand and challenge can be met by converting the tremendous amount of paper documents to images using a process to enable specialized document imaging people to select the most suitable image type and scanning resolution to use when there is a need for storing documents images. This documents management process, if applied, attempts to solve the problem of the image storage type and size to some extent. In this paper, we present a case study resembling an applied process to manage the documents in the scientific council in King Saud University and store them in an imaging database to make the retrieval of information and various scanned images easier and faster; therefore, we optimize the work process and maximize the efficiency of the scientific council tasks. © Springer Science+Business Media B.V. 2010.