This update is about the work we did in an interdisciplinary team, including epidemiologists, mathematical modellers, data scientists and data engineers, data policy experts, and software engineers to build an open-source FAIR data pipeline (https://www.fairdatapipeline.org,https://github.com/FAIRDataPipeline/). This work led by the Scottish Covid Response Consortium started under the auspices of the Royal Society Rapid Assistance in Modelling the Pandemic and continued with a grant from the Science and Technology Facilities Council. The objective was to build a tool supporting the annotation of data consumed by analysis, while also tracing the provenance of the scientific outputs back to the analytical or modelling source code and to the primary data. Thus, allowing us to track every step from data source to policy decision. More details about the pipeline can be found in the publication “FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows” available in Philosophical Transactions of the Royal Society A available at https://doi.org/10.1098/rsta.2021.0300