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290.470  Articles
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This work consists of measuring the quality of the datasets available on the web portal of the official public and national site of the country of Argentina. This research proposes to carry out a quality study applying the Open Data Quality Validation Too... see more

This work consists of measuring the quality of the datasets available on the web portal of the official public and national site of the country of Argentina. This research proposes to carry out a quality study applying the Open Data Quality Validation Too... see more

Response probabilities are used in adaptive and responsive survey designs to guide data collection efforts, often with the goal of diversifying the sample composition. However, if response probabilities are also correlated with measurement error, this app... see more

The Household Finance and Consumption Survey (HFCS) provides information about house-hold wealth (real and financial assets as well as liabilities) from 15 Euro-countries around the year 2010 (first wave). The survey will be the central dataset in this to... see more

Discretization is a data pre-processing task transforming continuous variables into discrete ones in order to apply some data mining algorithms such as association rules extraction and classification trees. In this study we empirically compared the perfor... see more

Straightlining – the tendency to give the same response to a series of grouped questions – can be the result of satisficing respondents. As a result, many survey practitioners use straightlining as one, and sometimes the only, indicator of data quality. R... see more

This paper evaluates the data quality of road axes using the OpenStreetMap (OSM) collaborative mapping platform. OSM was chosen owing to the abundance of data and registered contributors (~ 6 million). We assumed the OSM collaborative data could complemen... see more

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