Research data management is recognized by the scientific community as an important part of best practices in research, so that these data should be available for access and reuse. Within the context of research data ...

In a context of Data Integration Systems (DIS) providing access to large amounts of data extracted and integrated from autonomous data sources, users are highly concerned about data quality. Traditionally, data quality is ...

Nutritional deficiencies detection for coffee leaves is a task which is often undertaken manually by experts on the field known as agronomists. The process they follow to carry this task is based on observation of the ...

The use of the Internet to access government data is growing and presents possibilities for citizens to monitor the implementation of public policies. In the context of public policies for the agriculture sector, it is ...

A Data Integration System (DIS) is an information system that integrates data from a set of heterogeneous and autonomous information sources and provides it to users. Quality in these systems consists of various factors ...

Systematic data quality issues may occur at various stages of the data generation process. They may affect large fractions of observational datasets and remain largely undetected with standard data quality control. This ...