The phrase "a majority of data" is correct and usable in written English.
It can be used when discussing the larger portion or most of the collected information in a particular context.
Example: "A majority of data collected during the survey indicated a preference for remote work."
Alternatives: "most of the data" or "the bulk of the data".
On the problem side, his premise that a majority of data and information cluttering the Internet is not relevant to anyone strikes me as legitimate.
For example, while a majority of data is electronically stored information (ESI), Asian companies still rely heavily on legacy paper records that contain operational and financial information.
A majority of data points cluster above the 1 1 line, due to the presence of ~ 0.6 mM Mn already existing in solution at the onset of acid addition, as a result of the initial reaction between pyrolusite and Fe(II) (see Fig. 2).
The ML tree with the extended datasets reconstructed from a majority of data sets (around 76 out of 109) supports the groupings of Roseobacter with high BP values 80 100% (see File S2).
Whereas in a health economic model, only limited data may come from a Delphi panel, a BIA model often relies on a majority of data taken from a Delphi panel.
Taken together, a majority of data show that at low CPP concentrations, cellular uptake occurs mostly through endocytosis, whereas direct membrane translocation becomes prevalent at concentrations above 10 μM.
UT designed and analyzed the materials for the experiment, programmed it, collected a majority of the data, analyzed the data, and drafted the initial paper.
Only literature that presented final, original data regarding misoprostol use in home births and that included data that corresponded to a majority of the data elements discussed below was included for data extraction.
Unfortunately, a majority of biological data analysts try a variety of data processing techniques before arriving at the final one that seems to be suitable to the dataset in question.
Although a majority of the data was collected in face-to-face interviews with experienced clinicians, all data represent self-reports by the patients.
The problem is that a majority of the data sets in the biomedical domain are weakly structured and non-standardized [13], and most data are in dimensions much higher than 3, and despite human experts are excellent in pattern recognition for dimensions (le 3), such data make manual analysis often impossible.
