Practical systems, taxonomies, and workflows to capture, index, and reuse research knowledge across teams, projects, and labs.
Practical practices, starter taxonomies, metadata templates, ELN/LIMS integration pointers, capture workflows, and retention policies to make protocols, decisions, negative results, and contextual lab notes discoverable, reusable, and trustworthy.
A practical starter design for research knowledge graphs: recommended entities, relationships, provenance model, identifier strategy, and search integration points to make publications, datasets, experiments, people, and protocols discoverable and reusable.
Design patterns, example schemas, and query examples for research knowledge graphs that make experiments, samples, protocols, datasets, and people discoverable and linkable across projects and systems.