Toxicology & Background Control Data Sharing Assets

Published Papers

Toxicology Data Sharing: Leveraging Data Sharing To Enable Better Decision Making In Research And Development

This paper examines the experiences of the BioCelerate team in designing, building and using DataCelerate®, a scalable platform used to initially share de-identified toxicology and background control data. It also examines the long-term vision for preclinical data sharing, the evolution of use cases beyond TDS, and the readiness of industry and other stakeholder groups to contribute to this holistic value proposition.

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Unlocking the Value of Shared Toxicology Data: Case Studies from DataCelerate and the Toxicology Data Sharing Initiative

This paper presents case studies demonstrating how historical toxicology data has been applied by member companies to support comparative analysis, training of new study directors, exploration of AI tools, and standardization of vehicle terminology. While differences in study design and terminology and non-standardized data fields create challenges for aggregating and analyzing the data, the use of SEND-formatted data and modern visualization tools has enabled meaningful insights. The paper highlights how collaborative data sharing can reduce animal use, improve decision-making, and accelerate the development of safer therapies.

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System Use Cases

Analysis Use Case Examples

Understanding the toxicity profiles for all studies performed for one compound, as well as understanding the effects of longer exposure

Understanding off-target toxicity / multiple compounds binding to the same target as well as understanding trends for a class of compounds or Mechanism of Action (MOA)

Understanding the effects of vehicles that might be used on different studies

Understanding the frequency of rare and incidental findings from background control data

Predicting / modelling the toxicology profile or biological activities of chemicals in animals using Quantitative structure activity relationship (QSAR)

Link clinical and preclinical data to provide translational insights

Identified use cases apply to cross-study analysis performed in any number of data warehousing and visualization solutions, including Datacelerate™

Capabilities

Identity Management
  • De-identification of structured and unstructured data
Import & Export
  • Data import for structured (e.g., CDISC) and unstructured data (e.g., PDF)
  • Data export for de-identified and harmonized data
Data & Document Management
  • Linkages between datasets
  • Derivation of background data (pre-treatment & control animal)
search
  • Data harmonization
  • Unit conversion
  • Search unstructured / structured data
Data Visualization
  • Search unstructured / structured data