IntroductionInformation is a critical investment for universities. 1 The constant challenge for any organization that generates statistical information is to ensure that their information quality is appropriate for their intended applications. 2 Data quality (DQ) is an essential element, "in spite of their expenditures on information technology, many organizations still do not have the accurate, timely, and useful data they require for effective operations and decision-making, and the problems of DQ are increasing practically. " 3 The accessibility, reliability, consistency and relevance of the data that supports information systems are essential to its use and effectiveness in university settings. 4 Ahmadi et al determined 669 information requirements by distributing questionnaires among the managers of the Deputy of Treatment. According to their results, 56% of the information requirements had no specific sources; hence, it was recommended to first evaluate the existing information system of the medical sciences universities and then, by concentrating all of the affairs of the university's information management under one unit's supervision, it would become possible to manage and eliminate parallel works under different deputies. AbstractBackground: By addressing the challenges of managing academic information, especially in the field of education, designing a framework as an organized structure for managing the quality of academic educational information is necessary. The framework for quality management of university educational information has received little attention so far and all of its aspects have not been elaborated comprehensively. This study has reviewed related literature. Methods: In this review paper, the databases such as Web of Science, Scopus and Irandoc were searched for valid English and Persian articles from 1995 to 2017 using keywords or a combination of keywords such as "information quality management". After reviewing the printed references, 48 relevant cases were selected. No limitations were applied in the selection of articles and sources in terms of their types. There are no in-press or personal communication sources. The review was conducted at all of the three steps of information management.Results: Four aspects of data quality (DQ) were identified: intrinsic, contextual, representational and accessibility. Information quality is the main process of information management. The framework for quality management of university educational information was recognized in five main categories: the information quality and its necessity, the features of information quality, comparative study on the models of data quality management (DQM), improving information quality and university policies about DQ. Conclusion: Quality management of university educational information is an effective step toward continuous improvement of DQ and can pave the way for information and academic managers while facing the current changing environment in the future issues.

Figure 2. A, complex decision tree using four parameters of DWI restriction, central necrosis, T2 map, and TMCE ratio; B, confusion matrix for the number of lesions on true and false predicted classes; C, scatter-plot for distribution of lesions based on the complex model. B, Benign; M, malignant; Y, yes; N, no.