TetraScience, the R&D Data Cloud company, announced that SciNote, maker of a powerful Electronic Lab Notebook (ELN), has joined the Tetra Partner Network to meet customer demand for greater efficiency in Discovery workflows and data management.
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“To maximize the value of scientific data, customers first need the data extracted from multiple vendor products, and the data must then be centralized, contextualized and harmonized,” says Alan Millar, VP of Business Development for the Tetra Partner Network. “SciNote’s ELN is a trusted, modern informatics solution that increases efficiency and productivity. We welcome the opportunity to partner with them so that customers can focus on science rather than data formatting.”
SciNote ELN, a top-rated solution used by researchers at the National Institutes for Health (NIH) and the Federal Drug Administration (FDA), supports more than 80,000 scientists in over 100 countries. SciNote helps researchers at Qiagen, Perfect Day and Fog Pharma manage their data processes and enables scientists at the University of Washington and other leading academic institutions to manage their discoveries in a scalable manner. A multi-faceted solution, the SciNote ELN provides functionality for team management and collaboration, protocol and SOP management, inventory tracking, 21 CFR Part 11 compliance, and more. As a Tetra Partner, SciNote accelerates access to, and increases the value of, scientific data through the Tetra Data Platform (TDP) – the industry’s only R&D focused, vendor-agnostic, and cloud-native platform.
“Our mission is to help humanity benefit the most from science and to preserve research data for future generations,” says Klemen Zupancic, Ph.D., CEO of SciNote. “We are delighted to be part of the Tetra Partner Network so that, together, we can tackle the complexity of scientific research and provide even more value to customers through better scientific data.”
“Industry participants of all kinds – global pharmas, biotech startups, informatics providers, CROs, biopharma app companies, and more – recognize that this movement to the R&D Data Cloud must be driven by vendor-neutral and open partnerships that are deeply data-centric,” explains Patrick Grady, CEO of TetraScience. “Biopharma R&D needs to unify and harmonize experimental data in the cloud, in order to fully capitalize on the power of AI and data science. In turn, AI and data science will uncover insights that will accelerate discovery and development of therapeutics that extend and enhance human life. We are thrilled to further extend this network together with SciNote.”