diff --git a/NEWS.md b/NEWS.md
index a8eff6e..aec7899 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -44,7 +44,7 @@
 * Automated checks for residuals are added. See the `check_residuals()` function.
 
 # auditor 0.3.1
-* Repository with the `auditor` package was moved to new GitHub organization ([MI^2 DataLab](https://github.com/MI2DataLab/auditor)).
+* Repository with the `auditor` package was moved to new GitHub organization ([MI^2 DataLab](https://github.com/MI2DataLab)).
 
 # auditor 0.3.0
 * New five vignettes with examples.
diff --git a/R/auditorData.R b/R/auditorData.R
index 235d767..94dca53 100644
--- a/R/auditorData.R
+++ b/R/auditorData.R
@@ -1,4 +1,4 @@
-#' Artifficial auditorData
+#' Artificial auditorData
 #'
 #' The auditor Data is an artificial data set.
 #' It consists of 2000 observations.
diff --git a/inst/CITATION b/inst/CITATION
index 02cda5d..8968810 100644
--- a/inst/CITATION
+++ b/inst/CITATION
@@ -3,7 +3,7 @@ bibentry(bibtype = "Article",
   title = "auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics",
   year = "2019",
   journal = "The R Journal",
-  url = {"https://journal.r-project.org/archive/2019/RJ-2019-036"},
+  url = {"https://journal.r-project.org/archive/2019/RJ-2019-036/"},
   pages = "85--98",
   volume = "11",
   number = "2",
diff --git a/man/auditorData.Rd b/man/auditorData.Rd
index e92bf7c..7741c7f 100644
--- a/man/auditorData.Rd
+++ b/man/auditorData.Rd
@@ -3,7 +3,7 @@
 \docType{data}
 \name{auditorData}
 \alias{auditorData}
-\title{Artifficial auditorData}
+\title{Artificial auditorData}
 \format{
 a data frame with 2000 rows and 5 columns
 }
diff --git a/vignettes/model_performance_audit.Rmd b/vignettes/model_performance_audit.Rmd
index b794fa2..1c193c8 100644
--- a/vignettes/model_performance_audit.Rmd
+++ b/vignettes/model_performance_audit.Rmd
@@ -18,7 +18,7 @@ knitr::opts_chunk$set(message = FALSE)
 
 ## Data
 
-To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/pbiecek/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem). 
+To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/ModelOriented/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem). 
 
 ```{r}
 library(DALEX)
diff --git a/vignettes/model_residuals_audit.Rmd b/vignettes/model_residuals_audit.Rmd
index 95f9fb8..48a1e50 100644
--- a/vignettes/model_residuals_audit.Rmd
+++ b/vignettes/model_residuals_audit.Rmd
@@ -32,7 +32,7 @@ Most methods provided in auditor package are model-agnostic, what means that the
 
 Use case - predicting a length of life
 
-To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/pbiecek/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem).
+To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/ModelOriented/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem).
 
 
 ```{r}
diff --git a/vignettes/observation_influence_audit.Rmd b/vignettes/observation_influence_audit.Rmd
index c0ca09b..ddbe987 100644
--- a/vignettes/observation_influence_audit.Rmd
+++ b/vignettes/observation_influence_audit.Rmd
@@ -20,7 +20,7 @@ Observation influence audit, i.e. the impact of individual observation on a mode
 
 ## Data
 
-To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/pbiecek/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem). 
+To illustrate application of `auditor` we will use dataset "dragons" available in the [`DALEX`](https://github.com/ModelOriented/DALEX) package. The dataset contains characteristics of fictional creatures (dragons), like year of birth, height, weight, etc (see below). The goal is to predict the length of life of dragons (a regression problem). 
 
 
 ```{r}