Align your data with global standards—FADGI, ISO, IIIF, Dublin Core, and OAIS—through structured frameworks built for longevity, discoverability, and reuse. We build adaptable templates and validation tools to keep data clean, compliant, and sustainable over time.

Metadata design is the foundation of discoverability, and our team ensures it’s done right. We collaborate with stakeholders to develop models that align institutional needs with international standards. The outcome is metadata that’s not only accurate and interoperable but also adaptable to evolving technologies and audiences.

Our process builds clarity from complexity—aligning data structures, schemas, and vocabularies with recognized standards like FADGI, ISO, and Dublin Core. Every project balances precision with practicality, ensuring metadata remains interoperable, sustainable, and ready for future discovery.

We begin by examining your existing metadata frameworks, controlled vocabularies, and documentation practices. Through interviews and data audits, we identify inconsistencies, redundancies, and opportunities to align descriptive, administrative, and technical metadata across systems.

We develop a standards roadmap that balances institutional needs with global best practices. This plan defines which schemas—Dublin Core, MODS, EAD, or custom hybrids—will guide future workflows, ensuring flexibility, interoperability, and sustainable governance.

We create or refine metadata models, field mappings, and controlled vocabularies that unify your collections. Each element is clearly documented and harmonized with industry standards, allowing data to move fluidly between repositories, aggregators, and discovery platforms.

Our team configures and tests metadata templates, crosswalks, and validation tools to ensure accurate and efficient data entry. We work closely with your staff to implement automated or semi-automated workflows that maintain quality while reducing manual effort.

Every dataset is reviewed against structural and semantic benchmarks to confirm compliance and consistency. We run automated checks and spot audits to identify anomalies, providing detailed reports that strengthen long-term data integrity and reliability.

We provide documentation, training, and governance models that empower your institution to manage standards confidently. Our goal is to create a living metadata ecosystem—one that evolves gracefully as technologies, collections, and audiences change over time.