Abstract
Data quality has been considerably faced with more attention in recent years. While improving the quality of any type of information system needs to apply data quality dimensions, this process is a strategic decision of any organization. Current Research Information System (CRIS) is a state of the art information system which manages different processes for acquisition, indexing, and dissemination of researches funded by research funders. In this paper, quality improvement programs for a CRIS are strategically defined using Strength, Weakness, Opportunity and Threaten (SWOT) approach. According to examined SWOT method, weaknesses (such as failure to evaluate the quality of information contained in the research), strengths (such as the accuracy of information classification), opportunities (such as the presence of university representatives in the process of thesis/dissertation registration) and threats (such as transfer of incorrect information by other systems) are identified and categorized. Besides, data quality dimensions are considered for determining all strategies for improving CRIS. An advanced multi-criteria decision-making method called Best-Worst Method (BWM) is applied for prioritizing obtained strategies. Results of proposed methodology indicated that the development and classification of the appropriate space for recording, controlling, indexing and disseminating the received information is obtained the first rank among the other strategies. Also, the creation of a comprehensive knowledge database for all researches in different universities is another main strategy that is ranked in second priority.
Highlights
In today's competitive world, information, equal to capital and human resources, is an influential factor of production and is considered as the most important relative advantage of economic enterprises
One of the features of new organizations is the over-accumulation of data, so increasing the amount of data and obtained information in organizations and the need to use them in organizational decisions over the past two decades has led to the emergence of an approach called knowledge management
This paper examines in a Current Research Information System (CRIS) which is implemented for the exchange and dissemination of knowledge for all researchers
Summary
In today's competitive world, information, equal to capital and human resources, is an influential factor of production and is considered as the most important relative advantage of economic enterprises. One of the features of new organizations is the over-accumulation of data, so increasing the amount of data and obtained information in organizations and the need to use them in organizational decisions over the past two decades has led to the emergence of an approach called knowledge management. Network information systems (NIS) provide new opportunities for data quality management, which can include access to a wider range of data sources, the ability to select and compare information from different sources, to detect and correct errors, and, an overall improvement on the quality of the data These contexts provide a wide range of evaluation techniques and data quality improvements for issues such as linkage and background, business rules, and coherent scales. Given the variability and complexity of these techniques, recent researches focus on different methods
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