In view of potential application to biomedical diagnosis, tight transcriptome data quality control is compulsory. Usually, quality control is achieved using labeling and hybridization controls added at different stages throughout the processing of the biologic RNA samples. These control measures, however, only reflect the performance of the individual technical manipulations during the entire p...

With the proliferation of crowdsourcing, improving the quality of user-generated data has become a major managerial concern. While traditional data quality research focused on structured data and corporate use, with the growing popularity of social networking, data created via the Internet is increasingly discretionary and heterogeneous. This paper explores the challenges of user-generated cont...

the objective of this study is to measure the city of tehran’s environmental quality in 2006 (the last census year). primarily, with a comparative analysis of a variety of urban sustainability indicator models, a collection of 54 indicators have been chosen and categorized as indicators of increase or decrease in urban environmental quality in the form of a simple mathematical model. based on t...

conclusions by studying the gap between perceptions and expectations of students from counseling services, we can provide the base for developing appropriate programs for the improvement of counseling services. results the result of this study showed that there were some differences between students’ perceptions and their expectations of counseling services quality (z = -12.91; p < 0.0001). the...

Auditing the changes to a database is critical for identifying malicious behavior, maintaining data quality, and improving system performance. But an accurate audit log is a historical record of the past that can also pose a serious threat to privacy. Policies which limit data retention conflict with the goal of accurate auditing, and data owners have to carefully balance the need for policy co...

The paper presents the application of several process control-related methods to the monitoring and control of data quality in financial databases. The quality control process itself can be seen as a classical control loop. Measurement of the data quality is conducted via application of quality tests, which exploit data redundancy defined by meta-information or extracted from data by statistica...

The two most commonly used techniques for evaluating the fit between application design and use — namely, usability testing and beta testing with user feedback — suffer from a number of limitations that restrict evaluation scale (in the case of usability tests) and data quality (in the case of beta tests). They also fail to provide developers with an adequate basis for: (1) assessing the impact...