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The information in the database was checked for quality to avoid inconsistencies and duplicated or inaccurate data.
The Cochrane Database was checked for reviews on the topic but there are, to our knowledge, no previous studies.
After entering all data, the database was checked for accuracy based on filter questions, transition questions and the internal logic of the questionnaire.
Clinical data, including IOP measurements, were entered into an Oracle database; the database was checked for internal inconsistencies on a regular basis.
Trained medical students gathered and entered the data on a separate database, independent of the triage outcome, using SSPS data entry version 4. The database was checked for consistency and outliers.
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The screened molecules from the databases were checked for the ADMET as well as the drug-like properties.
All three databases were checked for all articles.
The results from the databases were checked for duplicates using Reference Manager.
Additionally, all databases were checked for undefined values and extreme outliers.
The databases were checked for errors and outliers and obviously incorrect codes were re-checked against the raw data and impossible values were coded as missing.
ESTs and cDNAs from public databases were checked for redundancy (within each organism specific data set) using the GCG software or assembled into contigs using the CAP-assembler of the Bioedit program.
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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