The Turing Way: A collaborative guide to data science and research

Autor: Zormpa, Eirini, Steele, Anne
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.7143072
Popis: This talk was given to the KCL DRIVE-Health PhD seminar. The Turing Way is an open-source, community-led, and collaboratively developed project on making data science and research skills accessible, comprehensible, and beneficial for a wider research community. We bring together individuals from diverse fields and expertise to develop practices and learning resources that can make data research comprehensible and useful for everyone. These resources are organised as an online book with over 250 chapters across five guides on reproducibility, project design, collaboration, communication and ethics in research. All questions, comments, recommendations, and discussions are facilitated through an online GitHub repository.
Databáze: OpenAIRE