Make your data work harder for you

Pure gathers all research-related information from your internal systems, plus trusted external sources, and organizes it on a single, secure platform.

Pure integrates with multiple internal systems, including HR, finance, and grant management systems, plus databases such as Web of Science and ORCID. That interconnection removes silos and replication at source, so your whole institution has one consistent view of all research activity. Ultimately, Pure reduces reconciliation work, improves accessibility, and ensures everyone uses the same trusted data.

Up-to-date information without manual input — Pure automatically synchronises data across connected systems and external sources.

Shorten administrative to-do lists and reduce outdated records — publications, grants, affiliations, and researcher details are refreshed as changes occur.

Improve your institution’s wider performance — automation strengthens operational efficiency for research offices and libraries. It also makes sure reports, profiles, and downstream processes are always based on reliable data.

Save time and improve efficiency with automated validation and de-duplication workflows. Pure helps to ensure your research data is accurate, consistent, and trustworthy.

Maintain high data quality at scale, with fewer errors and less reworking. With clear ownership, audit trails, and governance controls, Pure enables reliable reporting, confident data reuse, and consistent inputs into dashboards and analytics.

Keep day-to-day workflows simple. Pure adds all the advantages without adding complexity to everyday workflows.

Keep up with compliance, make research easy to find, and interoperable. Pure simplifies compliance by tracking funder mandates, open access requirements, and research standards in real-time. Built on international standards such as CERIF and Dublin Core, and supported by ISO 27001 certification, Pure makes sure your research data is secure, simple to locate (inside and outside your institution), and can work with other systems.

Repurposed and ready for AI initiatives. Pure’s standards-based approach also prepares high-quality, well-governed data that can support advanced analytics and responsible AI initiatives.