In the context of a global and collaborative setting in which multiple laboratories are involved in SARS-CoV-2 surveillance and sequencing, it is critical to effectively integrate and standardise the results produced by different teams. This document describes the challenge of integrating different sources of raw genomic data and proposes a series of recommendations as to how to minimise biases and problems when analysing datasets combining raw data drawn from heterogeneous sources.

In the context of a global and collaborative setting in which multiple laboratories are involved in SARS-CoV-2 surveillance and sequencing, it is critical to effectively integrate and standardise the results produced by different teams. This document describes the challenge of integrating different sources of raw genomic data and proposes a series of recommendations as to how to minimise biases and problems when analysing datasets combining raw data drawn from heterogeneous sources.

In this document we explain the type of data that will be used in the project and the measures that will be taken to protect their confidentiality.