Breaking Data Silos – From static documents to living data
On 26th February 2026, the Physical Sciences Data Infrastructure (PSDI) hosted a webinar titled “Breaking Data Silos – From static documents to living data”, presented by Samuel Munday. This webinar demonstrates how Data Revival unlocks chemical “dark data” trapped in documents, patents, and historical notebooks, transforming it into structured, interoperable, AI‑ready assets that accelerate discovery and dissolve traditional data silos.
For those who missed the live session or wish to revisit the discussion, the full webinar is available on our YouTube channel.
The slides are available on zenodo: https://zenodo.org/records/18940762
Stay tuned for future PSDI webinars by subscribing to our YouTube playlist: PSDI Webinar Series.
Abstract: This webinar demonstrates how Data Revival uses advanced computer vision and domain‑specific AI to unlock chemical “dark data” scattered across lab notebooks, internal reports, scientific literature, and patents. By applying their specialized OCSR technology, capable of interpreting printed molecules, hand‑drawn structures, and complex Markush representations, Data Revival transforms static, siloed information into structured, interoperable, AI‑ready research assets. Attendees will see how these tools enable large‑scale reaction database creation, systematic patent analysis, and the migration of historical notebook data into modern ELNs, bridging the gap between legacy archives and digital research infrastructure.
