diff --git a/data-raw/create_admiral_adlb.R b/data-raw/create_admiral_adlb.R
index 0ce259098..cdd1cfd4c 100644
--- a/data-raw/create_admiral_adlb.R
+++ b/data-raw/create_admiral_adlb.R
@@ -2,7 +2,7 @@
 
 # This is a MULTI-step process.
 
-# First, using template to create the R script (in data-raw/admiral_adlb.R) which will generate the data.
+# First, using template to create the R script (in data-raw/admiral_adlb.R).
 # Next, source this script and create the data (~/.cache/R/admiral_template_data/admiral_adlb.rda)
 # Finally, shorten this data (now ~ 1.2 MB) by selecting only certain USERJID
 
@@ -19,41 +19,60 @@ use_ad_template(
 )
 
 # Second, source the script and save data in .cache
-source("data-raw/admiral_adlb.R")  # nolint
+source("data-raw/admiral_adlb.R") # nolint
 
 # Load the data into .GlobalEnv
-load("~/.cache/R/admiral_templates_data/adlb.rda" )
+load("~/.cache/R/admiral_templates_data/adlb.rda")
 
-#nrow(adlb)   83,652
+# nrow(adlb)   83,652
 
 # limit rows, by selecting only these USUBJID
 #' 01-701-1015, 01-701-1023, 01-701-1028, 01-701-1033,
 #' 01-701-1034, 01-701-1047, 01-701-1097, 01-705-1186,
 #' 01-705-1292, 01-705-1310, 01-708-1286
 
-USUBJID =
-c("01-701-1015",
-"01-701-1023",
-"01-701-1028",
-"01-701-1033",
-"01-701-1034",
-"01-701-1047",
-"01-701-1097",
-"01-705-1186",
-"01-705-1292",
-"01-705-1310",
-"01-708-1286"
-)
+usubjid <-
+  c(
+    "01-701-1015",
+    "01-701-1023",
+    "01-701-1028",
+    "01-701-1033",
+    "01-701-1034",
+    "01-701-1047",
+    "01-701-1097",
+    "01-705-1186",
+    "01-705-1292",
+    "01-705-1310",
+    "01-708-1286"
+  )
 
 #  prepare for inner join
-user = tibble(
-  USUBJID = USUBJID)
+user <- tibble(
+  USUBJID = usubjid
+)
 
-result = inner_join(adlb,user)
-admiral_adlb = result
+result <- inner_join(adlb, user)
+admiral_adlb <- result
 
 # check
-#USUBJID %in% result$USUBJID
+# USUBJID %in% result$USUBJID
 
-# Finally, saved reduced ds
+# Finally, save reduced ds
 use_data(admiral_adlb, overwrite = TRUE)
+
+##
+##  TEST - is dataset identical to .... backup of unaltered dataset
+##
+e1 = new.env()
+e2 = new.env()
+
+load("data/admiral_adlb.rda", e1)
+
+# CHANGE to your location of original dataset
+load("data-backup/admiral_adlb.rda", e2)
+
+identical(e1$admiral_adsl, e2$admiral_adsl)
+
+# cleanup
+rm(e1)
+rm(e2)