Data Quality is, in essence, understood as the degree to which data of interest satisfies requirements, is free flaws, and suited for intended purpose. usually measured utilizing several criteria, may differ terms assigned importance, depending on, e.g., at hand, stakeholders, or use.

Backgrounds: Thallium-201 is produced through 203Tl (p, 3n) 201pb 201Tl reaction by cyclotron. This radioisotope has known as one of the cyclotron radioisotopes which is used for myocardial perfusion in the coronary artery disease, Tl-201 after chemical purification and quality control in the form of 201Tl-chlorid is ready to send to the hospitals. Materials and methods: In this work the effect...

Service quality is often conceptualized as the comparison between service expectations and the actual performance perceptions. It enhances customer satisfaction, decreases customer defection, and promotes customer loyalty. Substantial literature has examined the concept of service quality, its dimensions, and measurement methods. We introduce the perceived service quality index (PSQI) as a sing...

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backgrounds: thallium-201 is produced through 203tl (p, 3n) 201pb 201tl reaction by cyclotron. this radioisotope has known as one of the cyclotron radioisotopes which is used for myocardial perfusion in the coronary artery disease, tl-201 after chemical purification and quality control in the form of 201tl-chlorid is ready to send to the hospitals. materials and methods: in this work the effect...

Data are traditionally evaluated using well-defined data models. But results may be variable if the data are not homogenised or standardised. Comparison of actual data with reference data presents a data model which supposes no error. The problem with evaluating positional quality, especially of maps, is a lack of temporal quality, therefore the reference points for evaluation should be chosen ...

The paper systematically reviews existing literature on the relationship between the level of effort to recruit a sampled person and the measurement quality of survey data. Hypotheses proposed for this relationship are reviewed. Empirical findings for the relationship between level of effort as measured by paradata (the number of follow-up attempts, refusal conversion and time in the field) and...

Nowadays, companies rely more than ever on stored data to support decision making. However, outdated data may result in wrong decisions and economic losses. Thus, measuring data currency is extremely important. Existing metrics for currency either assume that their input parameters are given, or estimate them statistically, which may not always be possible in applications and especially in the ...

Enterprises have a large amount of data available, represented in different formats normally accessible for different specialists through different tools. Integrating existing data, also those from more informal sources, can have great business value when used together as discussed for instance in connection to big data. On the other hand, the level of integration and exploitation will depend b...