Structured Data

In this webinar recording, Kyle T. Smith, Continuous Improvement Engineer, Philip Adams, Business Director for Coatings & Inks at Penn Color, and Brendan McSherry, Director of Enterprise Accounts at Uncountable, discuss Penn Color's journey with R&D

In today’s rapidly evolving research and development (R&D) landscape, the digitalization and standardization of data and processes have become crucial. These advancements are not just about efficiency—they are essential for fostering innovation and..

Ensuring data integrity in enterprise R&D laboratories is a multifaceted challenge, compounded by the rapid evolution of technology and increasing external pressures. Implementing robust data management strategies and advanced tools and technologies

Whether you’ve heard of Laboratory Information Management Systems (AKA "LIMS") and aren’t sure of their capabilities or what features and capabilities differentiate a LIMS solution from other laboratory R&D software systems – this guide is for you...

Implementing a new LIMS solution often fails when R&D organizations cannot get users comfortable with the new workflows. In this article, learn how to avoid common mistakes when transitioning your R&D organization from Excel Spreadsheets to a LIMS...

This white paper underscores the significance of structured lab data in fostering AI-driven innovations in enterprise R&D organizations. It maps out a strategic roadmap for organizations to fully capitalize on AI's prowess in optimizing R&D outcomes.

This webinar shows you how to enable end-to-end formulation and measurement capture – beyond a traditional ELN system. Learn about the importance of supplementing your ELN with a structured data system, features...

Explore the symbiotic relationship between Laboratory and Materials Informatics in R&D. Learn how Uncountable's unified platform capitalizes on this dynamic duo, driving innovation and efficiency.

Explore the transition from traditional data management methods like spreadsheets and shared drives to innovative structured data systems in R&D. Learn how this shift can enhance collaboration, decision-making, and innovation.

Artificial Intelligence (AI) is transforming the way R&D teams work and the manner in which research and development teams operate. AI technology, when implemented properly, can significantly drive innovation. Discover the top 5 ways AI can help R&D

What is Scientific Data Management System “SDMS” Software, and how does it work? This blog explains the key elements of SDMS solutions, common industries and use cases, key benefits, and how it differs from data management systems like LIMS and ELNs

Access the post-webinar recording on-demand, and follow Uncountable CEO Noel Hollingsworth as he discusses "Why You Need an End-to-End Data System for Better Decision-Making in R&D." Learn how to better manage and...