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NIIMBL Big Data Program Biopharmaceutical Manufacturing Ontology

The aim of the NIIMBL Big Data Program Biopharmaceutical Manufacturing Ontology is to collaboratively develop an industrially relevant shared ontology for three-unit operations (bioreactor, harvest, and ProA capture chromatography) in biomanufacturing.
Categories
Drug substance
Data
Project status
100% Completed

Industry Need

Poor data interoperability in Product Development and Manufacturing owing to different computerized design, analysis, and manufacturing software and hardware systems among functions within companies

Solution

Use Ontologies to provide an integrating environment for information repositories to enable semantic annotation, search/retrieval, and knowledge representation between systems throughout the design to manufacture lifecycle, within companies

Outputs/Deliverables

  • Ontology Data Files (done)
  • Hart (2023) BPI Presentation – Opensource Biomanufacturing Ontology
  • Kulvatunyou (2023) Presentation

Impacts

Reduce Operational and Delay Costs from Data Management, Discounted Ontology Development Cost

Additional Project Information (Members Only)

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Project Lead

NIIMBL

NIIMBL

Participating Organizations

AstraZeneca

AstraZeneca

Boehringer Ingelheim

Boehringer Ingelheim

Bristol-Myers Squibb

Bristol-Myers Squibb

Cytiva

Cytiva

Eli Lilly and Company

Eli Lilly and Company

Federal Stakeholder:  National Institute of Standards and Technology

Federal Stakeholder: National Institute of Standards and Technology

Genentech

Genentech

GlaxoSmithKline, LLC

GlaxoSmithKline, LLC

Merck Sharp & Dohme LLC

Merck Sharp & Dohme LLC

MilliporeSigma/EMD Serono

MilliporeSigma/EMD Serono

Pfizer, Inc.

Pfizer, Inc.

Sanofi

Sanofi

Sartorius Stedim

Sartorius Stedim