๐ค The National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL) has partnered with Open Applications Group (OAGi) to encourage the adoption of common standards.
๐ก The partnership aims to address the variation in drug production caused by raw material attributes and different data structures used by suppliers and manufacturers.
๐ Lack of standardization also affects analytics, leading to the use of workarounds that are far from ideal.
๐ NIIMBL and OAGi will promote the use of an ontology or set of common standards for raw materials to improve data transfer and reduce costs.
๐ผ The partnership aligns with OAGi’s goal of improving business process models, data standards, and training.
๐ก The project will leverage materials developed by OAGi’s Industrial Ontology Foundry (IOF) unit to accelerate and improve the quality of ontologies.
โ๏ธ By using open-source and low-cost ontologies, the project aims to lower barriers, increase standardization, and drive consistency in data sharing and use.
๐ The resources developed within OAGi, including ontologies, are available to everyone at no cost with a MIT license.
๐ The partnership between NIIMBL and OAGi is a step towards data interoperability in the drug industry.
Introduction:
The National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL) and Open Applications Group (OAGi) have partnered to address the lack of data uniformity in the biopharmaceutical supply chain. The variation in raw materials and consumables used in drug production can lead to inconsistency in product quality. Both organizations aim to encourage the adoption of common standards and ontologies to improve data sharing and interoperability in the industry.
- The lack of data uniformity hinders drug quality efforts in the biopharmaceutical supply chain.
- Variation in raw materials and consumables leads to inconsistency in product quality.
- OAGi and NIIMBL will focus on creating a canonical standard for raw material data transfer in the industry.
- The partnership aims to reduce costs associated with manual intervention and failures in manufacturing control and quality investigations.
- The project will leverage open-source resources and existing reference ontologies to accelerate the development and adoption of standardized vocabulary and relationships.
Conclusion:
The collaboration between NIIMBL and OAGi seeks to address the data uniformity challenges in the biopharmaceutical industry by promoting the adoption of common standards and ontologies for raw material data transfer. This standardization effort will improve data sharing, manufacturing control, and quality investigations, ultimately reducing costs and increasing efficiency in the drug production process.
