wgf-fairdata-analysis
NanoSafety cluster Work Group F FAIR maturity indicator analysis
This webpage summarizes the current outcomes of the effort by the European nanosafety community into establishing more FAIR data sets and databases. For this, it has developed a Jupyter notebook that applies a previously published approach to measure in initial level of FAIR-ness. This commnunity is working on establishing additional maturity indicators specific and more relevant to reuse of the data being analysed and needed for risk governance.
Current analysis results
| Question | Database | Notebook | MyBinder |
|---|---|---|---|
| What are the differentially expressed genes between normal subjects and subjects with Parkinson’s diseases in the brain frontal lobe? | ArrayExpress | FAIR_assessment_2.ipynb |  |
| What is the effect of the WDR45 gene mutation in the brain? | Gene Expression Omnibus | FAIR_assessment_2.ipynb | |
| What can these datasets tell us about nanoscale titanium dioxide (TiO2) toxicity? | eNanoMapper | FAIR_assessment_eNanoMapper.ipynb | |
| What can these datasets tell us about nanoscale titanium dioxide (TiO2) toxicity? | caNanoLab | FAIR_assessment_cnanolab.ipynb | |
| What can these datasets tell us about nanoscale titanium dioxide (TiO2) toxicity? | ChEMBL | FAIR_assessment_ChEMBL.ipynb | |
| What can these datasets tell us about nanoscale titanium dioxide (TiO2) toxicity? | NanoCommons | FAIR_assessment_NanoCommons.ipynb | |
Contributing
The Jupyter notebook can be applied to any database, and application to other databases is possible by following the instructions on this page. Basically, use this template and update the details for the database of your interest.
Funding
This work received funding from the European Union’s Horizon 2020 research and innovation programme via NanoCommons Project under grant agreement No 731032, NanoSolveIT Project under grant agreement No 814572, RiskGONE Project under grant agreement No 814425 and via Gov4Nano under grant agreement No 814401.