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Boavizta Project - Environmental Footprint Data

This data repository is maintained by Boavizta and is complementary to Boavizta's environmental footprint evaluation methology. It aims to reference as much data as possible to help organizations to evaluate the environmental footprint of their information systems, applications and digital services.

Boavizta database is quite exclusively derived from PCF (Product Carbon Footprint) sheets provided by the manufacturers. Methodologies used by manufactureres are not transparent and have very large margins of error and the purpose of making these data available is mainly to give ideas of orders of magnitude and to compare different models from the same manufacturer.

Therefore WE RECOMMAND NOT USING THESE DATA TO MAKE ACCURATE IMPACTS EVALUATIONS or to compare the impacts of devices from different manufacturers.

In addition, most manufacturers rely on the PAIA evaluation method developed by MIT. This method is based on data from non-public studies and Boavizta was therefore unable to evaluate its relevance.

To browse data, you can use https://dataviz.boavizta.org.

License

This dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/This data can be freely used for any purpose including without using Boavizta's methodology.

Data sets

At this time, we provide two CSV files grouping together data collected from manufacturers (mainly Product Carbon Footprint reports) publicly avaiblable :

We encourage all manufacturers to provide us with similar data or to correct potential errors in these files.

Boavizta working group works actively to enrich these files with new data :

Please refer to sources.md for a complete list of sources.

Contribute

People are encouraged to contribute to these files.

You can easily contribute by :

If any manufacturers wish to share data with us, we will be happy to discuss with them how we can efficiently synchronize this data.

Running the code

Download Chromedriver for your version of Chrome: https://chromedriver.chromium.org/downloads and move it to a folder that belongs to your path. For Mac you can also run

brew install chromedriver

and restart Chrome.

Then create a python3.9 virtual environment, run

pip install -r tools/requirements.txt

to install the required packages and follow the instructions on the spiders README.md to run a spider and parse the pdfs of the associated brand.

When developing a new parser you can also follow the instructions on the parsers README.md.

Data format

About Boavizta.org

Boavizta.org is a working group: