Centralizing, Modeling, and Aggregating Instrument Data
A major multinational pharmaceutical company overcame challenges in managing diverse R&D instrument data by adopting Dotmatics Luma, a comprehensive platform that standardized, integrated, and enabled scalable analysis of vast datasets, thereby accelerating research capabilities and improving data processing across its R&D operations.
Transforming R&D Data Management: How a Major Biopharma Revolutionized Its Analytical Capabilities
When a leading multinational pharmaceutical company faced the daunting challenge of managing diverse R&D data from thousands of instruments, it sought more than a quick fix. After disappointing results with initial vendors, the company turned to Dotmatics Luma.
This comprehensive data-management platform not only standardized and integrated vast amounts of data but also enabled complex, scalable analysis, accelerating the company’s research capabilities. Discover how Luma's advanced features led to rapid deployment and significant improvements in data processing across the company’s R&D efforts.
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How Luma Lab Connect Automates Lab Data Acquisition Across 100+ Instruments
Dotmatics Luma Lab Connect, part of the Dotmatics Luma multimodal scientific R&D platform, automates and streamlines the acquisition, management, and preparation of complex, multimodal lab data from over 100 diverse instruments and sources, addressing challenges of data security, integrity, and usability to enhance research productivity and enable FAIR data practices within a unified, low-code SaaS environment.
Data Evolution in Pharma: The Spread of Multimodal
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Our 11 Most-Read Blogs of 2023: AI, Biologics, ELNs, and More
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Luma Lab Connect: Empowering Automated End-to-End Instrument Data Capture in the Modern Lab
The presentation on Dotmatics Luma Lab Connect, led by Alister Campbell at Messe Frankfurt on June 11th, will showcase how the platform enables automated, end-to-end instrument data capture in modern labs by centralizing and standardizing diverse data formats to provide scientists with FAIR (Findable, Accessible, Interoperable, Reusable) data access despite challenges from varied manufacturers and formats.
What is a scientific data management system?
A scientific data management system (SDMS) is a digital tool designed to securely record, organize, and store diverse and often unstructured scientific data from laboratory equipment, enabling standardized data formats, integration with other digital tools like electronic lab notebooks, enhanced global collaboration, and efficient archival access for improved knowledge management and analysis.