BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Physical Sciences Data Infrastructure - ECPv6.16.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Physical Sciences Data Infrastructure
X-ORIGINAL-URL:https://www.psdi.ac.uk
X-WR-CALDESC:Events for Physical Sciences Data Infrastructure
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260226T140000
DTEND;TZID=Europe/London:20260226T150000
DTSTAMP:20260311T141225Z
CREATED:20260114T153125Z
LAST-MODIFIED:20260311T141225Z
UID:36658-1772114400-1772118000@www.psdi.ac.uk
SUMMARY:Webinar: Breaking Data Silos - From static documents to living data
DESCRIPTION:This webinar demonstrates how Data Revival applies cutting edge computer vision and domain specific AI to unlock 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. \nThe recording of this webinar is now available on YouTube \n			\n				\n				\n				\n				\n				Abstract\nIn the physical sciences\, critical R&D knowledge remains trapped in a vast array of static formats—ranging from handwritten lab notebooks and internal company reports to academic literature and patent filings. This fragmentation creates data silos that hinder innovation and prevent the deployment of modern digital tools. \nIn this webinar\, Data Revival will demonstrate how advanced computer vision and domain-specific AI can transform this “dark data” into living\, interoperable assets. We will showcase our specialized Optical Chemical Structure Recognition (OCSR) technology\, which is uniquely capable of interpreting the full spectrum of chemical representations: standard printed molecules\, complex Markush structures found in intellectual property\, and hand-drawn structures from legacy notebooks. \nAttendees will see this technology applied in real-world scenarios\, including the creation of comprehensive reaction databases from thousands of Organic Process Research & Development (OPRD) papers \, the systematic parsing of patent landscapes\, and the automated extraction of historical notebook data to populate modern Electronic Lab Notebooks (ELNs). Join us to learn how we bridge the gap between static archives and AI-ready infrastructure. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Biography\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Samuel Munday is the CEO and co-founder of the University of Southampton spin out Data Revival. He first became interested in scientific data management whilst building a predictive analytics platform for polymeric materials and realising that a lot of key data resided in a form incomprehensible to computers. This has led to the development of a series of tools for unstructured chemical data extraction and structuring\, mainly used for turning hand written lab notebooks\, patents and academic literature into structured searchable databases at scale. These services are now being used by large multinational chemical and pharmaceutical companies in areas as diverse as semiconductors\, polymers and drug discovery. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch the recording\nYou can watch the recording of this webinar via our YouTube channel. Slides are available on Zenodo. \n\n\n\n\n\n\n\n The PSDI team looks forward to seeing you at the webinar\, if you have any questions you can always get in contact with us.
URL:https://www.psdi.ac.uk/event/webinar-data-revival-2/
LOCATION:Online\, Virtual Event\, Online
CATEGORIES:Webinar
END:VEVENT
END:VCALENDAR