Machine-Centric Science

I interview Patrick Huck, currently staff on the Materials Project at the Lawrence Berkeley National Laboratory in Berkeley, California, United States. We talk about choices and considerations in implementing FAIR.

Show Notes

Materials Project (MP) website: https://materialsproject.org/

Novel Materials Discovery (NOMAD) Laboratory: https://nomad-lab.eu/

Contributor Roles Taxonomy: https://credit.niso.org/

Authentication resources (FAIR A1.2):
- https://portier.github.io/using.html
- https://github.com/simov/grant
- https://docs.konghq.com/

U.S. Department of Energy resources:
- Office of Scientific and Technical Information (OSTI) Data ID Service: https://www.osti.gov/data-services
- https://www.energy.gov/science/office-science-pure-data-resources

Connecting with Patrick:
- https://www.linkedin.com/in/tschaume/
- https://twitter.com/tschaume
- https://appliedenergyscience.lbl.gov/people/patrick-huck

What is Machine-Centric Science?

Stories about the FAIR principles in practice, for scientists who want to compound their impacts, not their errors.