diff --git a/DESCRIPTION b/DESCRIPTION
index f447b4b56bc96ee8eac1ee14bcbd9addef6b532a..2504f8eb30d51ac90cff6992317483df73342c49 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: rdbnomics
 Type: Package
 Title: Download DBnomics Data
-Version: 0.6.2
+Version: 0.6.3
 Authors@R: c(person("Sebastien", "Galais", role = c("cre", "ctb"),
                      email = "s915.stem@gmail.com"),
              person("Thomas", "Brand", role = c("aut"),
@@ -24,4 +24,4 @@ Suggests:
     rmarkdown,
     tinytest
 VignetteBuilder: knitr
-RoxygenNote: 7.1.0
+RoxygenNote: 7.1.1
diff --git a/NEWS.md b/NEWS.md
index 9ddfe58c0aac22c80285e6df8ac07cc0fa97e14a..2948e66814cb6b969ff7dae1e2dc32bed5ec3a15 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,9 @@
+# rdbnomics 0.6.3
+
+* New badge in README.
+* Correction of .gitlab-ci.yml with pkg-config.
+* Correction of `rdb()` examples in the doc and README.
+
 # rdbnomics 0.6.2
 
 * Remove **ggplot2**, **DT** and **dplyr** vignette dependencies.
diff --git a/R/rdb.R b/R/rdb.R
index 7df01794516e01a4d7c02a1a01d63572e62ec8a6..378b37910a830e200b2b1d14667b16143f05a094 100644
--- a/R/rdb.R
+++ b/R/rdb.R
@@ -78,12 +78,12 @@
 #' # Fetch one value of one dimension from dataset 'Unemployment rate' (ZUTN) of AMECO provider:
 #' df1 <- rdb("AMECO", "ZUTN", dimensions = list(geo = "ea12"))
 #' # or
-#' df1 <- rdb("AMECO", "ZUTN", dimensions = '{"geo": ["ea12"]}')
+#' df1 <- rdb("AMECO", "ZUTN", dimensions = '{"geo":["ea12"]}')
 #'
 #' # Fetch two values of one dimension from dataset 'Unemployment rate' (ZUTN) of AMECO provider:
 #' df2 <- rdb("AMECO", "ZUTN", dimensions = list(geo = c("ea12", "dnk")))
 #' # or
-#' df2 <- rdb("AMECO", "ZUTN", dimensions = '{"geo": ["ea12", "dnk"]}')
+#' df2 <- rdb("AMECO", "ZUTN", dimensions = '{"geo":["ea12","dnk"]}')
 #'
 #' # Fetch several values of several dimensions from dataset 'Doing business' (DB) of World Bank:
 #' dim <- list(
@@ -93,8 +93,8 @@
 #' df3 <- rdb("WB", "DB", dimensions = dim)
 #' # or
 #' dim <- paste0(
-#'   '{"country": ["DZ", "PE"],',
-#'   '"indicator": ["ENF.CONT.COEN.COST.ZS", "IC.REG.COST.PC.FE.ZS"]}'
+#'   '{"country":["DZ","PE"],',
+#'   '"indicator":["ENF.CONT.COEN.COST.ZS","IC.REG.COST.PC.FE.ZS"]}'
 #' )
 #' df3 <- rdb("WB", "DB", dimensions = dim)
 #'
diff --git a/R/utils.R b/R/utils.R
index fa1052302cb12b203a5f0aa8cde76b45857da9f4..6376ad789188e419ab99877e55c58c9369535aa8 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -388,13 +388,13 @@ transform_date_timestamp <- function(DT) {
   check_argument(timezone, "character")
 
   from_timestamp <- c(
-    "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
-    "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}\\.[0-9]+Z$",
+    # "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}Z$",
+    "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}\\.?[0-9]*Z$",
     "^[0-9]{4}-[0-9]{2}-[0-9]{2}[[:blank:]]+[0-9]{2}:[0-9]{2}:[0-9]{2}$"
   )
 
   to_timestamp <- c(
-    "%Y-%m-%dT%H:%M:%SZ",
+    # "%Y-%m-%dT%H:%M:%SZ",
     "%Y-%m-%dT%H:%M:%OSZ",
     "%Y-%m-%d %H:%M:%S"
   )
diff --git a/README.md b/README.md
index bcf4a762678dae8e5dc145ed1e2584c3aebd3996..1fbed6e1d0d3f25021f82c90f70aa042129778a4 100644
--- a/README.md
+++ b/README.md
@@ -75,17 +75,17 @@ df4 <- rdb("IMF", "BOP", "A.FR.BCA_BP6_EUR")
 # Fetch one value of one dimension from dataset 'Unemployment rate' (ZUTN) of AMECO provider:
 df1 <- rdb("AMECO", "ZUTN", dimensions = list(geo = "ea12"))
 # or
-df1 <- rdb("AMECO", "ZUTN", dimensions = '{"geo": ["ea12"]}')
+df1 <- rdb("AMECO", "ZUTN", dimensions = '{"geo":["ea12"]}')
 
 # Fetch two values of one dimension from dataset 'Unemployment rate' (ZUTN) of AMECO provider:
 df2 <- rdb("AMECO", "ZUTN", dimensions = list(geo = c("ea12", "dnk")))
 # or
-df2 <- rdb("AMECO", "ZUTN", dimensions = '{"geo": ["ea12", "dnk"]}')
+df2 <- rdb("AMECO", "ZUTN", dimensions = '{"geo":["ea12","dnk"]}')
 
 # Fetch several values of several dimensions from dataset 'Doing business' (DB) of World Bank:
 df3 <- rdb("WB", "DB", dimensions = list(country = c("DZ", "PE"), indicator = c("ENF.CONT.COEN.COST.ZS", "IC.REG.COST.PC.FE.ZS")))
 # or
-df3 <- rdb("WB", "DB", dimensions = '{"country": ["DZ", "PE"], "indicator": ["ENF.CONT.COEN.COST.ZS", "IC.REG.COST.PC.FE.ZS"]}')
+df3 <- rdb("WB", "DB", dimensions = '{"country":["DZ","PE"],"indicator":["ENF.CONT.COEN.COST.ZS","IC.REG.COST.PC.FE.ZS"]}')
 ```
 
 ### Fetch time series with a `query`:
diff --git a/man/rdb.Rd b/man/rdb.Rd
index 153be6c49614f49fcf21e812c658bf39d379bfff..c6c065fa26a488ae58532e2ecda4a020b5b94d95 100644
--- a/man/rdb.Rd
+++ b/man/rdb.Rd
@@ -113,12 +113,12 @@ df3 <- rdb(ids = c("AMECO/ZUTN/EA19.1.0.0.0.ZUTN", "IMF/BOP/A.FR.BCA_BP6_EUR"))
 # Fetch one value of one dimension from dataset 'Unemployment rate' (ZUTN) of AMECO provider:
 df1 <- rdb("AMECO", "ZUTN", dimensions = list(geo = "ea12"))
 # or
-df1 <- rdb("AMECO", "ZUTN", dimensions = '{"geo": ["ea12"]}')
+df1 <- rdb("AMECO", "ZUTN", dimensions = '{"geo":["ea12"]}')
 
 # Fetch two values of one dimension from dataset 'Unemployment rate' (ZUTN) of AMECO provider:
 df2 <- rdb("AMECO", "ZUTN", dimensions = list(geo = c("ea12", "dnk")))
 # or
-df2 <- rdb("AMECO", "ZUTN", dimensions = '{"geo": ["ea12", "dnk"]}')
+df2 <- rdb("AMECO", "ZUTN", dimensions = '{"geo":["ea12","dnk"]}')
 
 # Fetch several values of several dimensions from dataset 'Doing business' (DB) of World Bank:
 dim <- list(
@@ -128,8 +128,8 @@ dim <- list(
 df3 <- rdb("WB", "DB", dimensions = dim)
 # or
 dim <- paste0(
-  '{"country": ["DZ", "PE"],',
-  '"indicator": ["ENF.CONT.COEN.COST.ZS", "IC.REG.COST.PC.FE.ZS"]}'
+  '{"country":["DZ","PE"],',
+  '"indicator":["ENF.CONT.COEN.COST.ZS","IC.REG.COST.PC.FE.ZS"]}'
 )
 df3 <- rdb("WB", "DB", dimensions = dim)