Posted on Lab Informatics. 31 May, 2021
The R&D pipeline is the foundation for building the future of any life science organization. It is the frontier for the discovery of new drug compounds and therapeutic agents. The top priority of R&D leaders is the continuous optimization and expansion of this pipeline to reduce operational inefficiencies and bring products to market faster, more cost effectively.
The rapid development of the COVID-19 vaccine showed the world that, with the right tools and technology, developmental timelines can be rapidly improved. It’s not a thing of the future.
“We need a revolution in science. We’re taught that the purpose of an experiment is to answer a binary question … to define a provable hypothesis and then test it. This approach has carried us far, but it’s no longer sufficient.” – Dr. Timothy Gardner, CEO, Riffyn”
To make the same level of scientific excellence as witnessed in COVID-19 vaccine development an everyday reality, we need a profound shift in our scientific world view. This is perhaps best described by Dr. Timothy Gardner, CEO of Riffyn:
“We need a revolution in science. We’re taught that the purpose of an experiment is to answer a binary question … to define a provable hypothesis and then test it. This approach has carried us far, but it’s no longer sufficient.”
Gardner challenges the conventional approach to science wherein the purpose of the experiment is to answer whether a hypothesis is true, suggesting that a necessary question to ask — and answer — “is my measurement a precise and accurate characterization of nature? Does it generate quality, permanent, reusable information?”
Gardner believes we need to shift the fundamental focus of the scientific process from proving a binary theory towards manufacturing quality data, and then applying logic and advanced analytics to understand the complex cause and effect relationships revealed by the data itself.
As we shift from answering binary questions to emphasizing quality data even before running a single experiment, the quantity and quality of data produced by R&D labs will increase even faster than it already is. Effective data management will be critical for the survival of the R&D laboratory. Without it, laboratories will remain a sieve through which they lose valuable information.
Recognizing this, Gardner founded Riffyn to enable R&D labs to embrace the revolutionary concept of science as the manufacturing of information. Riffyn’s cloud-based Process Data System, Riffyn Nexus™, helps R&D labs generate FAIR (Findable, Accessible, Interoperable, Reusable) data through its process-centric architecture.
Features such as sample and process traceability, versioning, and automatic data contextualization and formatting help R&D groups accelerate the iterative improvement of processes with rich datasets they produce. The ability to quickly identify sources of error also means better informed decisions. The bottom line: bringing life-saving products to market faster.
Innovation necessitates a new paradigm and transformative tools. Using processes as the organizing principle for data storage, analysis, and user interface, Riffyn Nexus helps R&D organization maximize high-quality, informative, reproducible data, bridging the gap from data to new product development.
Quality holds the key to rapid product innovation – quality in measurement, process design and data analysis. Shifting the scientific paradigm to producing quality data enables better understanding of the complex cause and effect relationships, accelerating the R&D process.
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