Examples of using Data quality in English and their translations into Serbian
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Modern instruments and data quality.
PhotoCity solves the data quality and sampling problems in distributed data collection.
Ansolabehere and Hersh took two different approaches to addressing the data quality concern.
For ideas about how to measure data quality from respondents, see Schober et al.(2015).
Extensive verifications of our weather models are regularly conducted andthereby, top data quality is ensured.
People also translate
For ideas about how to measure data quality from respondents, see Schober et al.(2015).
Data quality is a general challenge when automatically integrating data from autonomous sources.
Before publishing the results, extensive data quality control is carried out.
Researchers who have experience hiring undergraduate research assistants might immediately be skeptical about data quality.
We offer a range of EDI solutions to enhance data quality and enable an efficient and secure exchange of information.
This approach has already been used successfully,and future uses will likely have to address sampling and data quality concerns.
If there are any doubts as regards data quality, Eurostat contacts the Member State to provide necessary justifications or corrections.
Further, PhotoCity shows that problems related to sampling and data quality are potentially solvable.
Delivering outstanding range,speed and data quality whenever and wherever needed, it is a superior solution for any 3D laser scanning task.
Mass collaboration can also help with data collection, butit is tricky to ensure data quality and systematic approaches to sampling.
Delivering outstanding range,speed and data quality whenever and wherever needed it is the perfect solution for any tasks in 3D laser scanning.
As it was in PhotoCity,the use of redundancy is an important principle for assessing and ensuring data quality in distributed data collection projects.
To ensure data quality, each donor has an internal validation process, and MEI monitors the data regularly for data quality and completeness.
Overall, the PhotoCity project shows that sampling and data quality are not insurmountable problems in distributed data collection.
That is, because enough journalists were deployed in a small enough setting and focused on a specific topic,it was possible to use redundancy to assess and ensure data quality.
The design of PhotoCity also elegantly solves the sampling and data quality challenges of eBird and other distributed data collection projects.
Further, when enough journalists are deployed in a small enough setting and reports are focused on a specific topic, redundancy became possible,which increases confidence in data quality.
EBird researchers have two main solutions to these data quality issues, issues that arise in many other distributed data collection projects.
The NDC standard enhances communication capabilities between airlines on the one hand and all other interested parties on the other, andallows the airline to offer its services to a wider audience with significantly better data quality.
Some may fear that these steps toward gamification could hurt data quality, but I think that bored participants pose a far greater risk to data quality.
However, eBird, and related projects,indicate that challenges related to sampling and data quality are concerns for distributed data collection projects.
Key focus areas in retail include sustainability, data quality, compliance with regulatory requirements, traceability of products from their origin through delivery, and upstream integration between manufacturers and suppliers.
The existence of this database enables the exchange of data in electronic form,better data quality as well as their availability in the real time throughout the world via the Internet.
Some may fear that these steps toward gamification could hurt data quality, butI think that bored participants pose a far greater risk to data quality.
Scientists, researchers andanalysts most frequently use statistical data for scientific papers, data quality was observed as good, they completely trust statistical data, but consider that data reflect reality only partially.