FAIR Video Case Study on PyKale at The University of Sheffield
Channel: Haiping Lu
Date: 2022-08-30

Original description:

A video case study in which Dr Haiping Lu discusses his application of the FAIR data and software principles to his research on accessible and sustainable machine learning.

FAIR refers to the principles applied to make research data and software findable, accessible, interoperable and reusable.

Filmed and produced by Sort Of... Films in May-July 2022. Interview conducted by Jenni Adams (University of Sheffield Library)

Citation:

Films, Sort Of...; Lu, Haiping; Adams, Jenni (2022): FAIR Video Case Study: Haiping Lu - PyKale - Accessible machine learning from multiple sources for interdisciplinary research. The University of Sheffield. Media. https://doi.org/10.15131/shef.data.20631255.v2 

LICENCE: CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
PyKale: https://pykale.github.io/