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Exact(7)
Missing data should be described and enumerated.
Thereby, the trade-off between the detailing of the model and the availability of data should be described and changes to the model structure or the influence of expert opinions filling data gaps should be explored and reported [19].
Datasets, from which we source data, should be described in terms of: required data to be defined; background about the data; list of data sources; for each data source the method of acquisition or extraction; and reporting the problems encountered in data acquisition or extraction.
Further, the likely completeness of the case-note data should be described.
But, we reasoned that some clarification of the power and utility of each type of data should be described.
Observed data should be described correctly: for example, "the two groups had similar mean values" or "differed in mean value, but the difference was not statistically significant".
Similar(52)
All experimental details except the data itself should be described in this field.
5) The expression data processing should be described in more detail to make it clear how normalization, and so on, was performed given the different time points, array versions, and discovery/replication cohorts.
Fourth, the modeling to fit the data in Figure 3E should be described in more detail in the main text.
With an increasing number of ways of preprocessing the data becoming available, this should be described in enough detail by the authors to allow exact replication; ii.
Only use cases created based on activities directly related to the interactions between a tool or a data source and the connector should be described.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com