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The data quality requirements for synchrophasor applications are investigated in this paper.
In Part I, the standards of synchrophasor systems and the classifications and data quality requirements of synchrophasor applications are reviewed.
For this purpose, we use semantic descriptions of geospatial data quality requirements in a rule-based form.
For instance, we see that data quality is more ensured by companies placing data quality requirements into the corporate risk function.
Specifically, this paper reviews synchrophasor applications' classifications and data requirements, and points out that it is necessary to formalize a set of consistent and quantifiable data quality requirements for synchrophasor applications.
This chapter explains how to use the analytical information collected via the mapping of the information chain, the construction of the data quality scorecard, and the current state assessment to provide input to the data quality requirements specifications.
Similar(52)
Increasing nonresponse rates motivate study centers to develop further strategies to ensure high data quality besides setting minimum requirements.
Conceptual basis, importance and bandwidth of variables, reliability and statistical properties, data and skill requirements, data quality and archiving, robustness under technology change, and cost/benefit issues are factors in indicator design.
Together, they can be used to determine data quality scores for individual requirements, as well as customize an overall system data quality score.
Scientists with different curation roles (including that of end user) may focus on different data quality aspects and skill requirements in a community curation environment.
The serious contamination to the PWE as "noise" degrades the data quality and the EMC requirements with regard to the PWE aim to avoid contamination from other onboard instruments.
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