Lecture

Critical Data Studies: Reproducibility and Renku

In course

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Description

This lecture covers the importance of reproducibility in data science, focusing on the origins of the scientific method and the current crisis of reproducibility in research. It also introduces Renku, a platform for managing data-driven projects. The lecture discusses the technical stack needed for reproducibility, policy implications of open science, and the FAIR principles. Students are guided on how to use Renku for their projects and the tools available for ensuring reproducibility.

Official source

https://mediaspace.epfl.ch/media/0_dnfc2hd3

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Ontological neighbourhood

Computer engineering

Computer data storage: File systems, Topics in computer data storage

Computer networks: Search engines

Information engineering

Data science: Topics in data science

Research

Publishing: Topics in publishing

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