Data quality (DQ) assessment and improvement in larger information systems would often not be feasible without using suitable "DQ methods", which are algorithms that can be automatically executed by computer systems to detect and/or correct problems in datasets. Currently, these methods are already essential, and they will be of even greater importance as the quantity of data in organisational systems grows. This paper provides a review of existing methods for both DQ assessment and improvement and classifies them according to the DQ problem and problem context. Six gaps have been identified in the classification, where no current DQ methods exist, and these show where new methods are required as a guide for future research and DQ tool development.

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This program is geared to students who are interested in understanding the biophysical and biochemical mechanisms that underlie cell function. We use individually-tailored short courses to address each student's needs, while a minimal set of core classes cover a breadth of topics in modern cell biology. Our faculty are broadly multidisciplinary , which allows students to work closely and concurrently with experimentalists and modelers, and we strongly encourage research projects that incorporate both of these types of approaches.

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