Open Science: Reproducibility and Interoperability in Research

Siloed science is slow science. A lack of reproducibility and interoperability across systems make it difficult to build upon progress. However, breaking down these siloes often requires time, effort and intention at the start of a project, which can be overwhelming. During this talk, Sarah will discuss lessons learned through working in Open Science, Open Source Software, and Open Infrastructure projects that put us on pathways to solving reproducibility and interoperability issues in research, in the context of the health sector.

Presented at the Turing Workshop for Open-Source AI Software for Healthcare at the Alan Turing Institute on 2022-11-21.

• Workshop website: https://sites.google.com/sheffield.ac.uk/ai-software4health/home