Sentence examples for harmonised datasets from inspiring English sources

How can inconsistencies be solved to create fully harmonised datasets in terms of variables names, labels, values and values labels, in an automated way?

As previously mentioned, a selection of 14 harmonised datasets were finally published through the GeoSmartCity Data Catalog27 as well as from the Reggio Emilia municipal open data portal, with data anonymized at building level (e.g. with values of energy consumption normalised by building volume).

This paper aims to provide a data-based benchmark of buildings energy performance in China and investigates the facts and causes of large variations in energy consumption across buildings based on updated and harmonised dataset.

This algorithm addresses the need to harmonise datasets when datasets of interest have inconsistencies in the names and values of variables.

The last three rows show the information that has to be harmonised across datasets prior to conducing statistical analyses using those variables.

Renaming all variables (and recoding all values, where appropriate) would allow harmonise datasets.

This article presents an automated approach to harmonise dataset structures, which optimises the search of variables, minimises manual inputs and reduces the risk of error.

When the numbers of datasets and variables to be harmonised are small, dataset structures can be handled manually.

It is expected that the related datasets are harmonised with each other.

Datasets are harmonised when all variables pointing at the same content have the same name and the same range of values (and the same codes, for categorical variables); for example, when all variables carrying the information about the vaccination status of the third dose of DTP have the same name in all datasets (e.g. DTP3).

Greece as a member of the European Union is obliged to harmonise its existing datasets to match the requirements of INSPIRE.