Basic Methods for Inspection and Assessment of Statistical Data Quality

2022 ◽  
pp. 55-79
Author(s):  
Wuyi Zeng
Keyword(s):  
Data Quality ◽  
Statistical Data

scholarly journals Research on Statistical Innovation Based on the Game between Central Government and Local Government

2012 ◽  
Vol 6-7 ◽  
pp. 757-762
Author(s):  
Deng Bing Zhang
Keyword(s):  
Local Government ◽  
Data Quality ◽  
Statistical Data ◽  
Central Government ◽  
Statistical System ◽  
The Core ◽  
The Relationship ◽  
Statistical Work

Much of state statistical work is done by the local statistical organizations. The reliability of local statistical data is the core of statistical innovation. But, the care of local government and enterprises may be not identical with the target of statistical work. Statistical products must affect utilities of some people, so they may have motives to interfere with statistical affairs. The paper started with dominant rationality, and some game models were built based on the relationship between central government and local government. After analysis on these models, it points out that the new statistical system should be built to make benefit-related people separated from statistical work. That the benefit-related people have no access to interfering with statistical work is essential to ensure the statistical data quality.

Power System Data Quality Evaluation Based on the Analytic Hierarchy Process

2013 ◽  
Vol 712-715 ◽  
pp. 2611-2614
Author(s):  
Xi Liang Wang ◽  
Xuan Qin ◽  
Dao Xin Liu ◽  
Zi Jian Wang ◽  
Jun Wang ◽  
...  
Keyword(s):  
Data Quality ◽  
Electric Power ◽  
Quality Evaluation ◽  
Statistical Data ◽  
Evaluation Process ◽  
Analytic Hierarchy ◽  
System Data ◽  
Hierarchy Process ◽  
Specific Evaluation

The demand for electric power data is more and more widely, and put forward higher requirements to the quality of statistical data. This paper combined with the features of electric power data. Evaluate data quality from the accuracy, completeness, uniqueness, consistency, accuracy, efficiency and timeliness seven aspects. And put forward the specific evaluation methods of each evaluation index. Then build a whole data quality evaluation process on this basis, quantitative analysis the data in the database, to acquaintance the data quality condition.

A Review of Failure Handling Mechanisms for Data Quality Measures

2012 ◽  
Author(s):  
Nurul A. Emran ◽  
Noraswaliza Abdullah ◽  
Nuzaimah Mustafa
Keyword(s):  
Data Quality ◽  
Quality Measures ◽  
Failure Handling

Knowledge-Based Decision Support for Diagnosis and Therapy: On the Multiple Usability of Patient Data

1989 ◽  
Vol 28 (02) ◽  
pp. 69-77 ◽  
Author(s):  
R. Haux
Keyword(s):  
Expert Systems ◽  
Statistical Data ◽  
Patient Data ◽  
Attribute Selection ◽  
Patient Specific ◽  
Statistical Data Analysis ◽  
Inference Mechanism ◽  
Diagnosis And Therapy ◽  
Knowledge Based ◽  
Clinical Registries

Abstract:Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.

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