Overview

Damara Tern is a digital data management framework designed to structure, organize, and explore data generated across complex, multi-step workflows. It provides a unified system for registering process steps — including fabrication, testing, analysis, and related activities.

The framework is built on two core concepts: operation and trackable.

• Operation — any action performed through machine execution or human interaction. An operation may occur before, during, or after a primary process and serves as the unit for structured metadata and data collection. Operations can generate results, document contextual information, and may create, modify, combine, or transform trackables.

• Trackable — any physical or digital component that can be subjected to one or more operations. A trackable persists across process steps and accumulates history as it evolves through successive operations.

Operations are explicitly linked to the trackables they affect. By preserving these relationships, Damara Tern enables reconstruction of the full Digital Thread of each entity, reflecting the complete process pathway and the associated metadata collected at every stage.

Beyond registration and traceability, Damara Tern is designed to support relational search, cross-referencing, and structured data exploration. Users can traverse process histories, identify connections across projects, and analyze how materials, components, and results relate within and across workflows.