diff --git a/README.md b/README.md
index 4c52fadd53..15926691e7 100644
--- a/README.md
+++ b/README.md
@@ -6,6 +6,30 @@ The United Nations Code for Trade and Transport Locations is a code list mantain
 
 Data comes from the [UNECE page](http://www.unece.org/cefact/locode/welcome.html), released at least once a year.
 
+## Preparation
+
+As the original release files have encoding problems, we need to process both the mdb and the csv release.
+To build the dataset we use the csv version of the current edition.
+
+Tools needed: [MDBTools](http://mdbtools.sourceforge.net/) and [CSVKit](https://github.com/onyxfish/csvkit).
+Download the current edition from [UNECE](https://www.unece.org/cefact/codesfortrade/codes_index.html) and put it into the root directory.
+Then execute ```bash scripts/prepare_edition_mdb.sh loc{ed}mdb.zip```, where {ed} identify the release.
+
+To integrate the data from the csv then run the python file
+
+Prerequisites:
+
+```
+pip install pandas titlecase
+```
+
+Run:
+```
+python scripts/integrate.py loc232csv.zip
+```
+
+The provided ```prepare.py``` file would work alone when the original csv file will be fixed upstream.
+
 ## License
 
 All data is licensed under the [ODC Public Domain Dedication and Licence (PDDL)](http://opendatacommons.org/licenses/pddl/1-0/).
diff --git a/scripts/README.md b/scripts/README.md
deleted file mode 100644
index ebeb0c7bc1..0000000000
--- a/scripts/README.md
+++ /dev/null
@@ -1,22 +0,0 @@
-#Build release
-As the original release files have encoding problems, we need to process both the mdb and the csv release.
-To build the dataset we use the csv version of the current edition.
-
-Tools needed: [MDBTools](http://mdbtools.sourceforge.net/) and [CSVKit](https://github.com/onyxfish/csvkit).
-Download the current edition from [UNECE](https://www.unece.org/cefact/codesfortrade/codes_index.html) and put it into the root directory.
-Then execute ```bash scripts/prepare_edition_mdb.sh loc{ed}mdb.zip```, where {ed} identify the release.
-
-To integrate the data from the csv then run the python file
-
-Prerequisites:
-
-```
-pip install pandas titlecase
-```
-
-Run:
-```
-python scripts/integrate.py loc232csv.zip
-```
-
-The provided ```prepare.py``` file would work alone when the original csv file will be fixed upstream.
\ No newline at end of file