Interoperability in R&D: What does it mean?
In modern drug development, connectedness is crucial for success, especially in remote and decentralized teams. This connectedness involves linking people and information to extract shared insights from data and make faster decisions.
In practice, this means ensuring interoperability of data, technology, systems, and ecosystems through a scalable, modular data fabric architecture. It connects various data sources, including enterprise data lakes, biomarker data, sample data, clinical sites, real-world information, and public databases, to create a robust data and insights supply chain (Figure 1, below).
Interoperability in R&D: Why does it matter?
Interoperability is vital for precision medicine as it enables seamless integration of applications and workflows for data analysis, storage, and processing. This reduces human intervention, minimizes variability, and enhances data reproducibility.
By employing FAIR (Findability, Accessibility, Interoperability, and Reusability) principles, organizations can close the “data-value gap” and increase the quality, accessibility, and usability of their data.
QuartzBio’s Approach to Interoperability
The QuartzBio Platform uses a fully interoperable, scalable, and modular data fabric solution to maintain connectivity with all data streams across complex technology and vendor ecosystems generated by R&D programs. This platform supports cross-ecosystem interoperability and generates insights using business intelligence tools.
QuartzBio’s approach drives value for multiple teams by unifying point solutions and enabling sample and biomarker insights to flow freely between operations teams, translational researchers, data science/bioinformatics teams, and business executives, thus powering decision-making for day-to-day use cases.
By creating a data fabric architecture to ingest and harmonize data and technologies spanning across this complex ecosystem, QuartzBio’s platform can serve as either a standalone enterprise system, or a robust system that can integrate seamlessly and serve domain-specific functions in the context of the broader drug ecosystem.
The Opportunity: Closing the Data-Value Gap
As sponsors invest more and more resources in generating data as part of clinical programs, there is increasing pressure to close the data-value gap. Because QuartzBio’s platform is built to be fully interoperable with clients’ systems and applications, clients can recognize immediate value across multiple functions across their enterprise.
