Updated README and included more references

README.md

 ## 1. Description
 
-This package provides a simple tool to assess the FAIRness of a dataset published online.
+This package provides a simple tool to assess the FAIRness of a dataset published online. The app is available at https://fair-tool.nilu.no.
+
 
 ## 2. Installation
 ### Docker
@@ -18,7 +19,7 @@ The application will run at `http://localhost:8501`
 GPLv3 license. 
 
 ## 4. Funding
-This work has received co-funding from the Horizon Europe Partnership for the Assessment of Risks of Chemicals (PARC) under Grant Agreement 101057014.
+This work has received co-funding from the Horizon Europe Partnership for the Assessment of Risks of Chemicals (PARC) under Grant Agreement 101057014. This work has received funding from the Horizon Europe project CE-RISE under Grant Agreement 101092281.
 
 ## 5. Contributors
 
@@ -26,4 +27,11 @@ This work has received co-funding from the Horizon Europe Partnership for the As
 embo&commat;nilu&period;no</a>
 * Evert Bouman <a href="mailto:eab&commat;nilu&period;no"> 
 eab&commat;nilu&period;no</a>
+* Miguel Las Heras Hernandez <a href="mailto:mher&commat;nilu&period;no"> 
+mher&commat;nilu&period;no</a>
+
+## 6. References
+The assessment is based on a simple questionnaire,
+adapted from the [ARDC FAIR assessment tool](https://ardc.edu.au/resource/fair-data-self-assessment-tool/) published [here](https://github.com/au-research/FAIR-Data-Assessment-Tool).
+The visualisation is based on [Ammar et al. 2020](https://doi.org/10.3390/nano10102068).
 

fair_app.py

@@ -6,7 +6,7 @@ import json
 st.set_page_config(
     page_title="FAIR assessment tool",
     # page_icon=
-    # layout='wide', #🍵
+    # layout='wide'
 )
 
 st.markdown("""
@@ -329,11 +329,15 @@ with tab2:
 
 st.markdown("""
 
-## ACKNOWLEDGEMENTS
+### ACKNOWLEDGEMENTS
 This work has received (co-)funding from the European Union's Horizon Europe Research and Innovation Programme
 under grant agreements 101057014 (PARC) and 101092281 (CE-RISE).
 
-## LICENSE
+### REFERENCES
+The visualisation is based on [Ammar et al. 2020](https://doi.org/10.3390/nano10102068).      
+Questionnaire adapted from the [ARDC FAIR assessment tool](https://ardc.edu.au/resource/fair-data-self-assessment-tool/) 
+
+### LICENSE
 
 Copyright (C) NILU, Bourgé, Bouman, Las Heras Hernandez 2024.
 
@@ -348,6 +352,6 @@ the GNU General Public License for more details.
 You should have received a copy of the GNU General Public License along with
 this program. If not, see https://www.gnu.org/licenses/.
 
-Contact: embo@nilu.no ; eab@nilu.no; mher@nilu.no
+The code is available for reuse on NILU's [Gitlab](https://git.nilu.no/impact/fairness)
 
 """)