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Sample and observation metadata are essential for the interpretation of omics data, and for facilitating future meta-analyses.
Apart from providing the minimal information needed to analyse experimental data, these metadata are essential for almost anything that can be done with data beyond the initial experiment.
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Since location metadata is essential for phylogeography our inclusion criterion was for each sequence to have a location metadata value at the governorate level.
In a field where complex data sets containing hundreds of thousands of spectra, generated under multiple conditions, support scientific conclusions at the molecular level, the sufficient reporting of the experimental metadata is essential for quality assessment of these conclusions, as well as for a potential reanalysis of the valuable data.
Therefore, having a specialty data store to capture the appropriate metadata is essential.
Higher level descriptions of data (i.e., metadata) and information derived from subsequent data processing and analyses (i.e., "meta-information" in the broadest sense) are essential for understanding and using the increasingly complex and voluminous data and information.
However it soon became clear that a proper metadata framework to annotate data was essential for making sense of the information stored in these databases [ 9, 10].
The coloring of nucleotides is essential for overlaying metadata on top of a structure.
Editing with respect to (iii), (iv) and (v) is essential for the processing of metadata elements in the context of taxon characterization, such as georeferenced localities for distribution mapping or collecting dates for phenology.
Stamina is essential for triathlon.
Failure is essential for success.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com