Workflow/Quality-control.md

 **ICOADS quality control indicator**
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-- The `irf` variable stands for intermediate reject flag. A value of 2 indicates that the report lacks suitable quality. This data is rejected from the [ship data
- selection](Workflow/data-selection) in [split_by_type.R](https://git.noc.ac.uk/brecinosrivas/icoads-r-hostace/-/blob/master/rscripts/split_by_type.R) 
+- The `irf` variable stands for intermediate reject flag. A value of 2 indicates that the data source or report lacks suitable quality. This data is rejected from the [ship data
+ selection](Workflow/data-selection) in [split_by_type.R](https://git.noc.ac.uk/brecinosrivas/icoads-r-hostace/-/blob/master/rscripts/split_by_type.R)
 
-- A deck priority is assigned in [`add_dck_priority.R `](https://git.noc.ac.uk/brecinosrivas/icoads-r-hostace/-/blob/master/rutils/add_dck_priority.R). 
+- A deck priority is assigned in [`add_dck_priority.R `](https://git.noc.ac.uk/brecinosrivas/icoads-r-hostace/-/blob/master/rutils/add_dck_priority.R).
 
     A certain priority is assign to some decks which are known to have a good quality data. The data expected to be of best quality is assigned a priority of 1, data with larger priority numbers will be flagged as the worst duplicate if reports are identified as potential matches. These priority values are based on those from [ICOADS](https://icoads.noaa.gov/e-doc/imma/R3.0-imma1.pdf).
 
 **Met Office climatological check**
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-A precision criteria on selected variables is used to perform a 
+A precision criteria on selected variables is used to perform a
 climatological quality control on the data.
- 
+
 The precision criteria for each key variable per `dck`,
 year and/or `sid` can be found in Table 5 of the [technical report]().
 
-Having a precision criteria not only preforms quality control on the data but helps to set tolerances when comparing variables from suspected duplicates. 
+Having a precision criteria not only preforms quality control on the data but helps to set tolerances when comparing variables from suspected duplicates.
 
 A comparison of climatological variables allows for a match between reports in the [duplicate identification](Workflow/duplicate-indentification) procedure done by [`new_get_pairs.R`](https://git.noc.ac.uk/brecinosrivas/icoads-r-hostace/-/blob/master/rscripts/new_get_pairs.R).
 
 **Met Office track check**
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-Several `dck` have `id`'s that indicate a logbook, sheet or other block of data that can be linked together to form ship tracks. 
 
-The linked `id`'s  are checked using the Met Office Quality Control track check (MOQC track check from [IMMA](https://git.noc.ac.uk/brecinosrivas/icoads-r-hostace/-/wikis/How-to-install#install-dependencies-with-conda-all-platforms)) as well as for time duplicates. 
+Several `dck` have `id`'s that indicate a logbook, sheet or other block of data that can be linked together to form ship tracks.
+
+The linked `id`'s  are checked using the Met Office Quality Control track check (MOQC track check from [IMMA](https://git.noc.ac.uk/brecinosrivas/icoads-r-hostace/-/wikis/How-to-install#install-dependencies-with-conda-all-platforms)) as well as for time duplicates.
 
 Reports that fail the track check are flag as the worst duplicate. Where positions (lat, lon) are similar the best duplicate is select by `dck` priority and number of quality variables found by the climatological check. The track check is also perform in the same [`new_get_pairs.R`](https://git.noc.ac.uk/brecinosrivas/icoads-r-hostace/-/blob/master/rscripts/new_get_pairs.R) script. 
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