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The sample metadata contain information about each sample, for example the sample pH or temperature.
The main functions of the sample metadata are to give the sample a unit identity and to make it reproducible or at least traceable.
This allows users to easily visualize the relationship between the sample metadata and the structure of the microbial communities present in the samples.
After feeding the sample metadata into the QuickNGS database, we have linked the 20 FastQ files into the QuickNGS stack directory.
In this way, the exchange of the sample metadata with the respective research collection can include the information about and, optionally, a stable link to existing character datasets, or even the stored character datasets themselves.
As a consequence, all connected derivatives, the sample metadata corresponding to the gathering and the character data resulting from the examination of a sample also become assigned to that taxon.
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If one taxon is united with another one, the appended sample metadata and character data are synchronously moved with the taxon and their former placement is recorded.
Principal coordinates analysis (PCoA) is usually used for visualizing and analyzing the association of sample metadata, it can also reveal the divergency of bacterial community structure.
If the status or position of a taxon is changed during the revision of a taxonomic classification in the taxonomic perspective of the Editor, all appended sample metadata and character data remain with the taxon.
Here we outline the steps of the integrative processing of sample metadata, sample character data and their taxon assignment, as it has been developed and is being implemented in the EDIT Platform.
These changes are separated from the original dataset, resulting in two semantic parts of sample metadata: (i) the 'core copy', the original dataset from an external provider and (ii) 'enrichment and refinement', the edited data which can be subject to a manual versioning by employing the auditing functionality of the EDIT Platform.
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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