diff --git a/DESCRIPTION b/DESCRIPTION
index dbcd7f45..c85719b6 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -48,11 +48,12 @@ Imports:
 Suggests:
     knitr,
     lubridate (>= 1.7.4),
-    pharmaversesdtm (>= 0.2.0),
+    pharmaversesdtm,
     rmarkdown,
     stringr (>= 1.4.0),
     testthat (>= 3.0.0),
     tibble
+Remotes: pharmaverse/pharmaversesdtm@admiralpeds_data_migration
 VignetteBuilder: 
     knitr
 Config/testthat/edition: 3
diff --git a/NEWS.md b/NEWS.md
index 3b96a965..a6592c41 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -9,6 +9,7 @@
 ## Documentation
 
 - Added CRAN installation instructions to README (#10).
+- Subject based test data (e.g. DM, VS) has been migrated out of `{admiralpeds}` to `{pharmaversesdtm}` (#40)
 
 ## Various
 
diff --git a/R/data.R b/R/data.R
index 3e8083b7..ac7886ea 100644
--- a/R/data.R
+++ b/R/data.R
@@ -193,20 +193,6 @@
 #' @source \url{https://www.cdc.gov/growthcharts/percentile_data_files.htm}
 "cdc_bmiage"
 
-#' Demographic Dataset-pediatrics
-#'
-#' An updated SDTM DM dataset with pediatric patients
-#' @keywords datasets
-#' @family datasets
-"dm_peds"
-
-#' Vital signs Dataset-pediatrics
-#'
-#' An updated SDTM VS dataset with anthropometric measurements for pediatric patients
-#' @keywords datasets
-#' @family datasets
-"vs_peds"
-
 #' Subject Level Analysis Dataset-pediatrics
 #'
 #' An updated ADaM ADSL dataset with pediatric patients
diff --git a/R/derive_params_growth_age.R b/R/derive_params_growth_age.R
index 9c033631..c56b9b05 100644
--- a/R/derive_params_growth_age.R
+++ b/R/derive_params_growth_age.R
@@ -116,10 +116,11 @@
 #' library(lubridate, warn.conflicts = FALSE)
 #' library(rlang, warn.conflicts = FALSE)
 #' library(admiral, warn.conflicts = FALSE)
+#' library(pharmaversesdtm, warn.conflicts = FALSE)
 #'
-#' advs <- dm_peds %>%
+#' advs <- pharmaversesdtm::dm_peds %>%
 #'   select(USUBJID, BRTHDTC, SEX) %>%
-#'   right_join(., vs_peds, by = "USUBJID") %>%
+#'   right_join(., pharmaversesdtm::vs_peds, by = "USUBJID") %>%
 #'   mutate(
 #'     VSDT = ymd(VSDTC),
 #'     BRTHDT = ymd(BRTHDTC)
diff --git a/R/derive_params_growth_height.R b/R/derive_params_growth_height.R
index 1c33767c..89572ba5 100644
--- a/R/derive_params_growth_height.R
+++ b/R/derive_params_growth_height.R
@@ -114,12 +114,13 @@
 #' library(lubridate, warn.conflicts = FALSE)
 #' library(rlang, warn.conflicts = FALSE)
 #' library(admiral, warn.conflicts = FALSE)
+#' library(pharmaversesdtm, warn.conflicts = FALSE)
 #'
 #' # derive weight for height/length only for those under 2 years old using WHO
 #' # weight for length reference file
-#' advs <- dm_peds %>%
+#' advs <- pharmaversesdtm::dm_peds %>%
 #'   select(USUBJID, BRTHDTC, SEX) %>%
-#'   right_join(., vs_peds, by = "USUBJID") %>%
+#'   right_join(., pharmaversesdtm::vs_peds, by = "USUBJID") %>%
 #'   mutate(
 #'     VSDT = ymd(VSDTC),
 #'     BRTHDT = ymd(BRTHDTC)
@@ -132,7 +133,7 @@
 #'     out_unit = "days"
 #'   )
 #'
-#' heights <- vs_peds %>%
+#' heights <- pharmaversesdtm::vs_peds %>%
 #'   filter(VSTESTCD == "HEIGHT") %>%
 #'   select(USUBJID, VSSTRESN, VSSTRESU, VSDTC) %>%
 #'   rename(
diff --git a/data-raw/adsl_peds.R b/data-raw/adsl_peds.R
index f5adc1f2..75934740 100644
--- a/data-raw/adsl_peds.R
+++ b/data-raw/adsl_peds.R
@@ -11,8 +11,8 @@ library(stringr)
 # Create a basic ADSL for pediatrics ----
 
 # Read in input data ----
-data("dm_peds")
-data("ex")
+dm_peds <- pharmaversesdtm::dm_peds
+ex <- pharmaversesdtm::ex
 
 # Derivations ----
 
diff --git a/data-raw/dm_peds.R b/data-raw/dm_peds.R
deleted file mode 100644
index b4edc65c..00000000
--- a/data-raw/dm_peds.R
+++ /dev/null
@@ -1,47 +0,0 @@
-# Dataset: dm_peds
-# Description: Create DM test SDTM dataset for pediatric studies
-
-# Load libraries -----
-library(dplyr)
-library(admiral)
-library(pharmaversesdtm)
-
-# Read input test data from pharmaversesdtm ----
-data("dm")
-
-# Convert blank to NA ----
-dm <- convert_blanks_to_na(dm)
-
-# Subset to first 5 patients only (which is enough for our examples) ----
-dm_subset <- dm %>%
-  filter(USUBJID %in% c(
-    "01-701-1015", "01-701-1023", "01-701-1028",
-    "01-701-1033", "01-701-1034"
-  ))
-
-# Add birth dates/age realistic for pediatrics in line with treatment dates ----
-dm_peds <- dm_subset %>%
-  mutate(BRTHDTC = case_when(
-    USUBJID == "01-701-1015" ~ "2013-01-02",
-    USUBJID == "01-701-1023" ~ "2010-08-05",
-    USUBJID == "01-701-1028" ~ "2010-07-19",
-    USUBJID == "01-701-1033" ~ "2014-01-01",
-    USUBJID == "01-701-1034" ~ "2014-06-01"
-  )) %>%
-  mutate(AGE = case_when(
-    USUBJID == "01-701-1015" ~ 1,
-    USUBJID == "01-701-1023" ~ 2,
-    USUBJID == "01-701-1028" ~ 3,
-    USUBJID == "01-701-1033" ~ 0,
-    USUBJID == "01-701-1034" ~ 0
-  ))
-
-# Variable labels ----
-attr(dm_peds$BRTHDTC, "label") <- "Date/Time of Birth"
-attr(dm_peds$AGE, "label") <- "Age"
-
-# Label dataset ----
-attr(dm_peds, "label") <- "Demographics"
-
-# Save dataset ----
-usethis::use_data(dm_peds, overwrite = TRUE)
diff --git a/data-raw/vs_peds.R b/data-raw/vs_peds.R
deleted file mode 100644
index 538a1176..00000000
--- a/data-raw/vs_peds.R
+++ /dev/null
@@ -1,262 +0,0 @@
-# Dataset: vs_peds
-# Description: Create VS test SDTM dataset for pediatric studies
-
-# Load libraries -----
-library(dplyr)
-library(admiral)
-library(pharmaversesdtm)
-
-# Read input test data from pharmaversesdtm ----
-data("vs")
-
-# Convert blank to NA ----
-vs <- convert_blanks_to_na(vs)
-
-# Subset to 5 patients present in dm_peds and only keep WEIGHT records ----
-vs_subset <- vs %>%
-  filter(USUBJID %in% c(
-    "01-701-1015", "01-701-1023", "01-701-1028",
-    "01-701-1033", "01-701-1034"
-  ) &
-    VSTESTCD %in% c("WEIGHT"))
-
-# Create placeholder records for HEIGHT, BMI and HDCIRC from the WEIGHT records
-vs_subset_height <- vs_subset %>%
-  mutate(VSTESTCD = "HEIGHT")
-vs_subset_bmi <- vs_subset %>%
-  mutate(VSTESTCD = "BMI")
-vs_subset_hdcirc <- vs_subset %>%
-  mutate(VSTESTCD = "HDCIRC")
-
-# Bind new parameter records to original dataset
-vs_subset_full <- bind_rows(
-  vs_subset,
-  vs_subset_height,
-  vs_subset_bmi,
-  vs_subset_hdcirc
-) %>%
-  arrange(USUBJID, VSTESTCD, VISITNUM, VSDY)
-
-# Updating each parameters values and units to be consistent with the ages of these dummy patients
-vs_peds <- vs_subset_full %>%
-  mutate(VSSTRESN = case_when(
-    USUBJID == "01-701-1015" & VSTESTCD == "WEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 9.11,
-      VISIT == "BASELINE" ~ 9.2,
-      VISIT == "WEEK 2" ~ 9.32,
-      VISIT == "WEEK 4" ~ 9.54,
-      VISIT == "WEEK 6" ~ 9.7,
-      VISIT == "WEEK 8" ~ 9.91,
-      VISIT == "WEEK 12" ~ 10.3,
-      VISIT == "WEEK 16" ~ 10.7,
-      VISIT == "WEEK 20" ~ 11.1,
-      VISIT == "WEEK 24" ~ 11.56,
-      VISIT == "WEEK 26" ~ 11.71,
-    ),
-    USUBJID == "01-701-1015" & VSTESTCD == "HEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 74.13,
-      VISIT == "BASELINE" ~ 74.41,
-      VISIT == "WEEK 2" ~ 74.71,
-      VISIT == "WEEK 4" ~ 75.32,
-      VISIT == "WEEK 6" ~ 75.93,
-      VISIT == "WEEK 8" ~ 76.54,
-      VISIT == "WEEK 12" ~ 77.72,
-      VISIT == "WEEK 16" ~ 78.96,
-      VISIT == "WEEK 20" ~ 80.22,
-      VISIT == "WEEK 24" ~ 81.43,
-      VISIT == "WEEK 26" ~ 82.03
-    ),
-    USUBJID == "01-701-1015" & VSTESTCD == "HDCIRC" ~ case_when(
-      VISIT == "SCREENING 1" ~ 35.61,
-      VISIT == "BASELINE" ~ 37.24,
-      VISIT == "WEEK 2" ~ 38.57,
-      VISIT == "WEEK 4" ~ 39.84,
-      VISIT == "WEEK 6" ~ 40.95,
-      VISIT == "WEEK 8" ~ 42.14,
-      VISIT == "WEEK 12" ~ 43.67,
-      VISIT == "WEEK 16" ~ 44.79,
-      VISIT == "WEEK 20" ~ 45.92,
-      VISIT == "WEEK 24" ~ 46.88,
-      VISIT == "WEEK 26" ~ 47.56
-    ),
-    USUBJID == "01-701-1023" & VSTESTCD == "WEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 12.47,
-      VISIT == "BASELINE" ~ 12.89,
-      VISIT == "WEEK 2" ~ 13.14,
-      VISIT == "WEEK 4" ~ 13.45
-    ),
-    USUBJID == "01-701-1023" & VSTESTCD == "HEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 87.65,
-      VISIT == "BASELINE" ~ 88.25,
-      VISIT == "WEEK 2" ~ 88.75,
-      VISIT == "WEEK 4" ~ 89.23
-    ),
-    USUBJID == "01-701-1023" & VSTESTCD == "HDCIRC" ~ case_when(
-      VISIT == "SCREENING 1" ~ 48.34,
-      VISIT == "BASELINE" ~ 48.71,
-      VISIT == "WEEK 2" ~ 49.12,
-      VISIT == "WEEK 4" ~ 49.56
-    ),
-    USUBJID == "01-701-1028" & VSTESTCD == "HEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 98.32,
-      VISIT == "BASELINE" ~ 98.95,
-      VISIT == "WEEK 2" ~ 99.34,
-      VISIT == "WEEK 4" ~ 99.68,
-      VISIT == "WEEK 6" ~ 100.13,
-      VISIT == "WEEK 8" ~ 100.45,
-      VISIT == "WEEK 12" ~ 101.02,
-      VISIT == "WEEK 16" ~ 101.48,
-      VISIT == "WEEK 20" ~ 101.97,
-      VISIT == "WEEK 24" ~ 102.44,
-      VISIT == "WEEK 26" ~ 102.82
-    ),
-    USUBJID == "01-701-1028" & VSTESTCD == "WEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 14.65,
-      VISIT == "BASELINE" ~ 14.95,
-      VISIT == "WEEK 2" ~ 15.17,
-      VISIT == "WEEK 4" ~ 15.43,
-      VISIT == "WEEK 6" ~ 15.66,
-      VISIT == "WEEK 8" ~ 15.84,
-      VISIT == "WEEK 12" ~ 16.34,
-      VISIT == "WEEK 16" ~ 16.73,
-      VISIT == "WEEK 20" ~ 17.11,
-      VISIT == "WEEK 24" ~ 17.56,
-      VISIT == "WEEK 26" ~ 17.85
-    ),
-    USUBJID == "01-701-1028" & VSTESTCD == "HDCIRC" ~ case_when(
-      VISIT == "SCREENING 1" ~ 51.34,
-      VISIT == "BASELINE" ~ 51.71,
-      VISIT == "WEEK 2" ~ 52.12,
-      VISIT == "WEEK 4" ~ 52.56,
-      VISIT == "WEEK 6" ~ 52.93,
-      VISIT == "WEEK 8" ~ 53.45,
-      VISIT == "WEEK 12" ~ 54.02,
-      VISIT == "WEEK 16" ~ 54.48,
-      VISIT == "WEEK 20" ~ 54.97,
-      VISIT == "WEEK 24" ~ 55.44,
-      VISIT == "WEEK 26" ~ 55.82
-    ),
-    USUBJID == "01-701-1033" & VSTESTCD == "HEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 59.45,
-      VISIT == "BASELINE" ~ 60.53,
-      VISIT == "WEEK 2" ~ 61.72,
-      VISIT == "WEEK 4" ~ 62.91
-    ),
-    USUBJID == "01-701-1033" & VSTESTCD == "WEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 5.62,
-      VISIT == "BASELINE" ~ 5.89,
-      VISIT == "WEEK 2" ~ 6.17,
-      VISIT == "WEEK 4" ~ 6.45
-    ),
-    USUBJID == "01-701-1033" & VSTESTCD == "HDCIRC" ~ case_when(
-      VISIT == "SCREENING 1" ~ 40.34,
-      VISIT == "BASELINE" ~ 40.71,
-      VISIT == "WEEK 2" ~ 41.12,
-      VISIT == "WEEK 4" ~ 41.56
-    ),
-    USUBJID == "01-701-1034" & VSTESTCD == "HEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 53.65,
-      VISIT == "BASELINE" ~ 54.78,
-      VISIT == "WEEK 2" ~ 55.95,
-      VISIT == "WEEK 4" ~ 57.14,
-      VISIT == "WEEK 6" ~ 58.23,
-      VISIT == "WEEK 8" ~ 59.45,
-      VISIT == "WEEK 12" ~ 60.67,
-      VISIT == "WEEK 16" ~ 61.79,
-      VISIT == "WEEK 20" ~ 62.91,
-      VISIT == "WEEK 24" ~ 64.03,
-      VISIT == "WEEK 26" ~ 65.15
-    ),
-    USUBJID == "01-701-1034" & VSTESTCD == "WEIGHT" ~ case_when(
-      VISIT == "SCREENING 1" ~ 4.25,
-      VISIT == "BASELINE" ~ 4.56,
-      VISIT == "WEEK 2" ~ 4.84,
-      VISIT == "WEEK 4" ~ 5.15,
-      VISIT == "WEEK 6" ~ 5.47,
-      VISIT == "WEEK 8" ~ 5.79,
-      VISIT == "WEEK 12" ~ 6.11,
-      VISIT == "WEEK 16" ~ 6.43,
-      VISIT == "WEEK 20" ~ 6.75,
-      VISIT == "WEEK 24" ~ 7.07,
-      VISIT == "WEEK 26" ~ 7.39
-    ),
-    USUBJID == "01-701-1034" & VSTESTCD == "HDCIRC" ~ case_when(
-      VISIT == "SCREENING 1" ~ 38.45,
-      VISIT == "BASELINE" ~ 38.92,
-      VISIT == "WEEK 2" ~ 39.34,
-      VISIT == "WEEK 4" ~ 39.78,
-      VISIT == "WEEK 6" ~ 40.23,
-      VISIT == "WEEK 8" ~ 40.65,
-      VISIT == "WEEK 12" ~ 41.07,
-      VISIT == "WEEK 16" ~ 41.48,
-      VISIT == "WEEK 20" ~ 41.89,
-      VISIT == "WEEK 24" ~ 42.30,
-      VISIT == "WEEK 26" ~ 42.72
-    ),
-    TRUE ~ VSSTRESN
-  ))
-
-# Derive BMI values ----
-vs_peds <- vs_peds %>%
-  arrange(USUBJID, VISITNUM, VSTESTCD, VSDY) %>%
-  group_by(USUBJID, VISITNUM) %>%
-  mutate(
-    VSSTRESN = case_when(
-      VSTESTCD == "BMI" ~ {
-        weight <- VSSTRESN[VSTESTCD == "WEIGHT"]
-        height <- VSSTRESN[VSTESTCD == "HEIGHT"] / 100 # Convert height from cm to m
-        as.numeric(weight / (height^2)) # BMI calculation
-      },
-      TRUE ~ VSSTRESN
-    )
-  ) %>%
-  ungroup()
-
-# Formatting the output dataset ----
-vs_peds <- vs_peds %>%
-  mutate(
-    VSSEQ = row_number(),
-    VSPOS = NA_character_,
-    VSORRESU = case_when(
-      VSTESTCD == "HEIGHT" ~ "cm",
-      VSTESTCD == "WEIGHT" ~ "kg",
-      VSTESTCD == "BMI" ~ "kg/m2",
-      VSTESTCD == "HDCIRC" ~ "cm",
-      TRUE ~ NA_character_
-    ),
-    VSTEST = case_when(
-      VSTESTCD == "HEIGHT" ~ "Height",
-      VSTESTCD == "WEIGHT" ~ "Weight",
-      VSTESTCD == "BMI" ~ "BMI",
-      VSTESTCD == "HDCIRC" ~ "Head Circumference",
-      TRUE ~ NA_character_
-    ),
-    VSSTRESC = as.character(VSSTRESN),
-    VSORRES = VSSTRESC,
-    VSSTRESU = VSORRESU,
-    VSSTAT = NA_character_,
-    VSLOC = NA_character_,
-    VSBLFL = if_else(VISITNUM == 2, "Y", NA_character_),
-    VISITDY = NA_integer_,
-    VSDY = NA_integer_,
-    VSEVAL = NA_character_,
-    EPOCH = "Epoch"
-  ) %>%
-  arrange(USUBJID, VSTESTCD, VISITNUM, VSDY)
-
-# Get common column names with VS
-common_cols <- intersect(names(vs), names(vs_peds))
-
-# Copy attributes (including labels) from vs to vs_peds for common columns
-for (col in common_cols) {
-  attributes(vs_peds[[col]]) <- attributes(vs[[col]])
-}
-# Set the labels for non-commn variables
-attr(vs_peds$VSEVAL, "label") <- "Evaluator"
-attr(vs_peds$EPOCH, "label") <- "Epoch"
-
-# Label dataset ----
-attr(vs_peds, "label") <- "Vital Signs"
-
-# Save dataset ----
-usethis::use_data(vs_peds, overwrite = TRUE)
diff --git a/data/dm_peds.rda b/data/dm_peds.rda
deleted file mode 100644
index 362c2ec0..00000000
Binary files a/data/dm_peds.rda and /dev/null differ
diff --git a/data/vs_peds.rda b/data/vs_peds.rda
deleted file mode 100644
index db1d926a..00000000
Binary files a/data/vs_peds.rda and /dev/null differ
diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R
index 154b6be7..1193fa12 100644
--- a/inst/templates/ad_advs.R
+++ b/inst/templates/ad_advs.R
@@ -10,6 +10,7 @@
 #        who_wt_for_lgth_boys, who_wt_for_lgth_girls
 
 library(admiral)
+library(pharmaversesdtm)
 library(admiralpeds)
 library(dplyr)
 library(lubridate)
@@ -29,9 +30,9 @@ The user could replace these metadata with their own chosen metadata")
 # For weight-based indicators we keep WHO and CDC separate due to the WHO
 # adjustment (restricted application of the LMS method) needed for the
 # anthropometric indicator derivations
-data(WHO_bmi_for_age_boys)
-data(WHO_bmi_for_age_girls)
-data(cdc_bmiage)
+who_bmi_for_age_boys <- admiralpeds::who_bmi_for_age_boys
+who_bmi_for_age_girls <- admiralpeds::who_bmi_for_age_girls
+cdc_bmiage <- admiralpeds::cdc_bmiage
 
 who_bmi_for_age <- who_bmi_for_age_boys %>%
   mutate(SEX = "M") %>%
@@ -70,9 +71,9 @@ cdc_bmi_for_age <- cdc_bmiage %>%
 # Default reference sources: WHO for children <2 yrs old (< 730.5 days),
 # and CDC for children >=2 yrs old (>= 730.5 days)
 # Combine WHO and CDC metadata
-data(who_lgth_ht_for_age_boys)
-data(who_lgth_ht_for_age_girls)
-data(cdc_htage)
+who_lgth_ht_for_age_boys <- admiralpeds::who_lgth_ht_for_age_boys
+who_lgth_ht_for_age_girls <- admiralpeds::who_lgth_ht_for_age_girls
+cdc_htage <- admiralpeds::cdc_htage
 
 height_for_age <- who_lgth_ht_for_age_boys %>%
   mutate(SEX = "M") %>%
@@ -111,9 +112,9 @@ height_for_age <- who_lgth_ht_for_age_boys %>%
 # For weight-based indicators we keep WHO and CDC separate due to the WHO
 # adjustment (restricted application of the LMS method) needed for the
 # anthropometric indicator derivations
-data(who_wt_for_age_boys)
-data(who_wt_for_age_girls)
-data(cdc_wtage)
+who_wt_for_age_boys <- admiralpeds::who_wt_for_age_boys
+who_wt_for_age_girls <- admiralpeds::who_wt_for_age_girls
+cdc_wtage <- admiralpeds::cdc_wtage
 
 who_wt_for_age <- who_wt_for_age_boys %>%
   mutate(SEX = "M") %>%
@@ -150,8 +151,8 @@ cdc_wt_for_age <- cdc_wtage %>%
 
 ## WHO - HEAD CIRCUMFERENCE for age ----
 # Default reference sources: WHO for children up to 5 yrs old
-data(who_hc_for_age_boys)
-data(who_hc_for_age_girls)
+who_hc_for_age_boys <- admiralpeds::who_hc_for_age_boys
+who_hc_for_age_girls <- admiralpeds::who_hc_for_age_girls
 
 who_hc_for_age <- who_hc_for_age_boys %>%
   mutate(SEX = "M") %>%
@@ -164,8 +165,8 @@ who_hc_for_age <- who_hc_for_age_boys %>%
 
 ## WHO - WEIGHT for LENGTH ----
 # Default reference sources: WHO for children <2 yrs old (< 730.5 days)
-data(who_wt_for_lgth_boys)
-data(who_wt_for_lgth_girls)
+who_wt_for_lgth_boys <- admiralpeds::who_wt_for_lgth_boys
+who_wt_for_lgth_girls <- admiralpeds::who_wt_for_lgth_girls
 
 who_wt_for_lgth <- who_wt_for_lgth_boys %>%
   mutate(SEX = "M") %>%
@@ -180,8 +181,8 @@ who_wt_for_lgth <- who_wt_for_lgth_boys %>%
 # as needed and assign to the variables below.
 # For illustration purposes read in admiral test data
 
-data("vs_peds")
-data("adsl_peds")
+vs_peds <- pharmaversesdtm::vs_peds
+adsl_peds <- admiralpeds::adsl_peds
 
 vs <- vs_peds
 adsl <- adsl_peds %>% select(-DOMAIN)
diff --git a/man/adsl_peds.Rd b/man/adsl_peds.Rd
index fdc44002..919f8926 100644
--- a/man/adsl_peds.Rd
+++ b/man/adsl_peds.Rd
@@ -13,10 +13,5 @@ adsl_peds
 \description{
 An updated ADaM ADSL dataset with pediatric patients
 }
-\seealso{
-Datasets
-\code{\link{dm_peds}},
-\code{\link{vs_peds}}
-}
 \concept{datasets}
 \keyword{datasets}
diff --git a/man/derive_params_growth_age.Rd b/man/derive_params_growth_age.Rd
index 9f1a05ba..b6a21e6e 100644
--- a/man/derive_params_growth_age.Rd
+++ b/man/derive_params_growth_age.Rd
@@ -130,10 +130,11 @@ library(dplyr, warn.conflicts = FALSE)
 library(lubridate, warn.conflicts = FALSE)
 library(rlang, warn.conflicts = FALSE)
 library(admiral, warn.conflicts = FALSE)
+library(pharmaversesdtm, warn.conflicts = FALSE)
 
-advs <- dm_peds \%>\%
+advs <- pharmaversesdtm::dm_peds \%>\%
   select(USUBJID, BRTHDTC, SEX) \%>\%
-  right_join(., vs_peds, by = "USUBJID") \%>\%
+  right_join(., pharmaversesdtm::vs_peds, by = "USUBJID") \%>\%
   mutate(
     VSDT = ymd(VSDTC),
     BRTHDT = ymd(BRTHDTC)
diff --git a/man/derive_params_growth_height.Rd b/man/derive_params_growth_height.Rd
index f7c0026f..51f3513e 100644
--- a/man/derive_params_growth_height.Rd
+++ b/man/derive_params_growth_height.Rd
@@ -127,12 +127,13 @@ library(dplyr, warn.conflicts = FALSE)
 library(lubridate, warn.conflicts = FALSE)
 library(rlang, warn.conflicts = FALSE)
 library(admiral, warn.conflicts = FALSE)
+library(pharmaversesdtm, warn.conflicts = FALSE)
 
 # derive weight for height/length only for those under 2 years old using WHO
 # weight for length reference file
-advs <- dm_peds \%>\%
+advs <- pharmaversesdtm::dm_peds \%>\%
   select(USUBJID, BRTHDTC, SEX) \%>\%
-  right_join(., vs_peds, by = "USUBJID") \%>\%
+  right_join(., pharmaversesdtm::vs_peds, by = "USUBJID") \%>\%
   mutate(
     VSDT = ymd(VSDTC),
     BRTHDT = ymd(BRTHDTC)
@@ -145,7 +146,7 @@ advs <- dm_peds \%>\%
     out_unit = "days"
   )
 
-heights <- vs_peds \%>\%
+heights <- pharmaversesdtm::vs_peds \%>\%
   filter(VSTESTCD == "HEIGHT") \%>\%
   select(USUBJID, VSSTRESN, VSSTRESU, VSDTC) \%>\%
   rename(
diff --git a/man/dm_peds.Rd b/man/dm_peds.Rd
deleted file mode 100644
index da99dfb8..00000000
--- a/man/dm_peds.Rd
+++ /dev/null
@@ -1,22 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/data.R
-\docType{data}
-\name{dm_peds}
-\alias{dm_peds}
-\title{Demographic Dataset-pediatrics}
-\format{
-An object of class \code{tbl_df} (inherits from \code{tbl}, \code{data.frame}) with 5 rows and 26 columns.
-}
-\usage{
-dm_peds
-}
-\description{
-An updated SDTM DM dataset with pediatric patients
-}
-\seealso{
-Datasets
-\code{\link{adsl_peds}},
-\code{\link{vs_peds}}
-}
-\concept{datasets}
-\keyword{datasets}
diff --git a/man/vs_peds.Rd b/man/vs_peds.Rd
deleted file mode 100644
index 681ade11..00000000
--- a/man/vs_peds.Rd
+++ /dev/null
@@ -1,22 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/data.R
-\docType{data}
-\name{vs_peds}
-\alias{vs_peds}
-\title{Vital signs Dataset-pediatrics}
-\format{
-An object of class \code{tbl_df} (inherits from \code{tbl}, \code{data.frame}) with 164 rows and 26 columns.
-}
-\usage{
-vs_peds
-}
-\description{
-An updated SDTM VS dataset with anthropometric measurements for pediatric patients
-}
-\seealso{
-Datasets
-\code{\link{adsl_peds}},
-\code{\link{dm_peds}}
-}
-\concept{datasets}
-\keyword{datasets}
diff --git a/staged_dependencies.yaml b/staged_dependencies.yaml
index 734bdadb..304b872c 100644
--- a/staged_dependencies.yaml
+++ b/staged_dependencies.yaml
@@ -4,6 +4,8 @@ upstream_repos:
     host: https://github.com
   - repo: pharmaverse/admiraldev
     host: https://github.com
+  - repo: pharmaverse/pharmaversesdtm
+    host: https://github.com
 
 downstream_repos:
 
diff --git a/vignettes/advs.Rmd b/vignettes/advs.Rmd
index 0df866cb..e35254c9 100644
--- a/vignettes/advs.Rmd
+++ b/vignettes/advs.Rmd
@@ -15,6 +15,7 @@ knitr::opts_chunk$set(
 )
 library(admiral)
 library(admiraldev)
+library(rlang)
 ```
 
 # Introduction
@@ -46,6 +47,7 @@ Once the required packages have been loaded, the first step is preparing the met
 
 ```{r message=FALSE}
 library(admiral)
+library(pharmaversesdtm, warn.conflicts = FALSE)
 library(admiralpeds)
 library(dplyr, warn.conflicts = FALSE)
 library(lubridate)
@@ -106,9 +108,9 @@ We do this pre-processing of the metadata using the following code for BMI
 as an example:
 
 ```{r eval=TRUE}
-data(WHO_bmi_for_age_boys)
-data(WHO_bmi_for_age_girls)
-data(cdc_bmiage)
+who_bmi_for_age_boys <- admiralpeds::who_bmi_for_age_boys
+who_bmi_for_age_girls <- admiralpeds::who_bmi_for_age_girls
+cdc_bmiage <- admiralpeds::cdc_bmiage
 
 who_bmi_for_age <- who_bmi_for_age_boys %>%
   mutate(SEX = "M") %>%
@@ -193,8 +195,8 @@ files if preferred.
 We do this using the following code:
 
 ```{r eval=TRUE}
-data(who_wt_for_lgth_boys)
-data(who_wt_for_lgth_girls)
+who_wt_for_lgth_boys <- admiralpeds::who_wt_for_lgth_boys
+who_wt_for_lgth_girls <- admiralpeds::who_wt_for_lgth_girls
 
 who_wt_for_lgth <- who_wt_for_lgth_boys %>%
   mutate(SEX = "M") %>%
@@ -230,8 +232,8 @@ include the pediatrics-specific parameters as needed - for example:
 | BMIPCTL   | BMI-for-age percentile | 10       | Subject Characteristic | 1          |
 
 ```{r echo=FALSE, message=FALSE}
-data("vs_peds")
-data("adsl_peds")
+vs_peds <- pharmaversesdtm::vs_peds
+adsl_peds <- admiralpeds::adsl_peds
 
 vs <- convert_blanks_to_na(vs_peds)
 adsl <- adsl_peds %>% select(-DOMAIN)