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Specific measures presented include accuracy, confidence, completeness, data volume and timeliness, and all are presented in relation to sensor data streams.
The main framework components, including data accuracy, data completeness, data integrity, metadata and its management, data availability and data authorisation are the main interest of this paper.
On the other hand, if we adopt the order (1), the completeness data cleaning is firstly carried out, which will repair the lost data and is helpful to guarantee the performance of the secondary time-related data cleaning.
This paper reviews seven widely used predictive toxicology data sources and applications, with a particular focus on their data governance aspects, including: data accuracy, data completeness, data integrity, metadata and its management, data availability and data authorisation.
The data completeness, data multiplicity, and average I/σ(I) values of the collected dataset were 99.7 %, 5.7, and 18.1, respectively (99.6 %, 5.7, and 2.2 for the highest resolution shell, respectively).
The completeness data for the key pathways identified by PCA analysis was then clustered using average linkage hierarchical clustering (Figure 4a).
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Each sample was assessed for completeness of data and genotype data was assessed for deviations from HWE, allele frequency and completeness.
Data quality was also assessed through completeness of data and floor/ceiling effects.
Data quality was high (range for completeness of data for the primary interest: 91 – 96%%).
Completed surveys were examined for completeness before data were entered into SPSS® 14.0.
Although completeness of data is very high, the quality of some data items is sub-optimal.
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