'data representativeness' is a correct and usable phrase in written English.
It is most often used to describe the degree to which the data collected accurately and comprehensively describes a population. For example, "By conducting a large-scale survey, we were able to ensure the data representativeness of our results."
However, several issues are still unresolved, particularly in terms of data representativeness.
Websites or online platforms could attract specific users, which affects data representativeness.
Among the existing research, Li (2010), Wen (2005), Liu and Gao (2011), and Hou et al. (2008) have tested the EMI hypothesis in their research, all of which, however, showed certain defects in terms of data representativeness and statistical methodology.
We propose that rather than dismissing out of hand research efforts using online job advertisement and other types of web-based data due to weaknesses of data representativeness, a debate should be launched on how these weaknesses can be compensated for and for which types of research questions and fields they might be of a smaller concern.
This paper has critically reviewed the existing literature to summarise the various ways in which researchers have been dealing with methodological issues related to web-based sources of new data and specifically the key problem of data representativeness and generalisability of their findings.
In the area of labour market research in particular, both methodological and content-research studies related to the WageIndicator project (see above) are relatively advanced with respect to testing data representativeness and ways to improve its usability for generalisable research and also allowing comparisons across countries.
The choice is based on the completeness of analytical data and representativeness with respect to water/rocks interaction processes.
By comparing the simulated and the filed data, the representativeness of the simulated regime fractions and VSP distributions were evaluated.
Without this information or comparative population data, the representativeness of the sample cannot be concluded.
However, the Board's survey is voluntary and most likely incomplete, so we cannot establish our data's representativeness.
These parallel results may indicate the mortality burden in the population has been reflected in the hospitals; though hospital data lack representativeness to the bigger population.
