Exploiting FAIR Data & Data Catalogs with LeapAnalysis: A New Approach to Virtualized Data Integration Across Federated Data Sources.


This workshop will extend the themes from the plenary talk on "FAIR Data, Data Catalogs and the Foundations of AI” to go deeper into the topics covered.  We will discuss challenges for Data Catalog creation and what pharma companies should consider when FAIR-ifying their existing data sources. We will discuss the role of metadata, specifically in terms of:

  • Terminologies
  • Controlled Vocabularies
  • Taxonomies
  • Layered Ontologies

Session learnings

We will demonstrate our new one-of-a-kind software product LeapAnalysis (LA), which utilizes FAIR principles and Data Catalogs to virtually connect data sources in real time.  We will show how to create custom namespaces to align data sources to a common semantic set of models for greater interpretability of the metadata. We will demonstrate how LA can seamlessly connect and utilize data sources on the fly, without the need for heavy-weight ETL or integration steps, which are the norm in other search & analytics platforms.  Utilizing cloud technology, we will then run SPARQL queries against several disparate non-semantic data sources directly, in real time, and resolve those queries in a single go. We will then discuss how analytics and reasoning can be utilized against those query results to provide users with unprecedented capabilities for finding and utilizing their data for a variety of applications

Areas covered in this session 

Role of metadata, specifically in terms of:

  • Terminologies
  • Controlled Vocabularies
  • Taxonomies
  • Layered Ontologies


Who should benefit

Decision makers in R&D, IT, Data Management, Analytics, Labs, Enterprise Information Management and Data Science.

Why should you attend 

Join us to learn more about this exciting application of semantically-enriched data.

osthus paperless lab academy



ELittle Paperless Lab Academy

Name: Eric Little, PhD

Title: Chief Data Officer

Email: eric.little@osthus.com

OSTHUS Paperless Lab Academy

OSTHUS is a multinational data consultancy headquartered in Aachen, Germany, with data innovation frameworks deployed in 16 of the top 20 big pharmaceutical companies in the world. For two decades, we have worked with executive teams in diverse industries to introduce a culture of innovation that drives enterprise value. We offer a strong track record of driving costs down while increasing the time to market for complex data initiatives. OSTHUS Blueprints serve as the choice methodology for companies seeking to leverage a vendor-agnostic approach in the pursuit of global digitization, artificial intelligence, prescriptive and deep learning efforts.