This Guidance demonstrates how to build a scientific data management system that integrates both laboratory instrument data and software with cloud data governance, data discovery, and bioinformatics pipelines, capturing key metadata events along the way. It starts once an experiment or project is initiated and electronic lab notebooks (ELNs) or lab information management systems (LIMS) notify a metadata catalog on AWS. After data is collected from instruments, the data moves to a data store that is associated with the metadata catalog. Bioinformatics results are captured in the data store, with all new files linked to the ELN or LIMS through the metadata store. All data is governed and discoverable by searching the metadata to find data assets, or by configuring a natural language search with a chat interface.