Allotrope Foundation

𝗛𝗮𝗿𝗺𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗥𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝗗𝗮𝘁𝗮 𝗔𝗰𝗿𝗼𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗜𝗻𝘀𝘁𝗿𝘂𝗺𝗲𝗻𝘁𝘀 We’re excited to share that the Allotrope Foundation Working Groups are actively developing a standardized Allotrope Simple Model (#ASM) Building Block for Regression Data, designed to support a wide range of analytical instruments and scientific workflows. This initiative focuses on building a flexible and reusable regression common schema that extends across diverse analytical techniques—such as #spectrometry, #chromatography, #spectroscopy, #plateReaders and many others—while addressing critical use cases such as Calibration, Quantitative Analysis, Method Validation, Performance Testing, and Stability Studies. 𝗪𝗵𝘆 𝗶𝘀 𝗮 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲𝗱 𝗥𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗵𝗲𝗺𝗮 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁? Regression analysis is central to numerous lab workflows, from calibrating instruments to quantifying results and validating methods. However, varying data models across instruments create challenges in data integration and reusability. The Allotrope Regression Schema will: •  Streamline Calibration across spectrometers, chromatographs, plate readers, and more •  Unify Quantitative Analysis workflows for complex multi-modal datasets •  Enhance Method Validation & Performance Testing with standardized data structures •  Support Stability Studies by enabling robust, long-term data tracking •  Facilitate AI/ML-Driven Insights through consistent, high-quality data •  Boost Data Interoperability & Reusability across scientific domains 𝗔 𝗖𝗮𝗹𝗹 𝘁𝗼 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻! We invite analytical scientists, data modelers, regulatory experts, and technology providers to join us in shaping this essential standardization effort. Together, we can create a #FAIR (Findable, Accessible, Interoperable, and Reusable) data ecosystem that drives innovation, accelerates data-driven drugs and materials discovery, and supports the next generation of AI-powered analytics. 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗻𝗴 𝗼𝗿 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗿𝗲? https://www.allotrope.org/ 𝗚𝗲𝘁 𝗶𝗻 𝘁𝗼𝘂𝗰𝗵 𝘁𝗼𝗱𝗮𝘆: more.info@allotrope.org #DataStandardization #DataStandards #LabDataStandardization #FAIR #FAIRData #Interoperability #ScientificData #AnalyticalDataStandards #InstrumentDataManagement #LabInformatics #AnalyticalData #AnalyticalChemistry #AnalyticalLaboratory #DataScience #AI #ML #MachineLearning #DigitalTransformation #LaboratoryAutomation #WorkflowAutomation #DigitalLab #LabEfficiency #LifeSciences #MaterialScience #ASM #LaboratoryInnovation #Innovation #PharmaInnovation #ChemicalInnovation #DrugDevelopment #RegressionModeling #Calibration #QuantitativeAnalysis #MethodValidation #StabilityStudies 

The Allotrope Simple Model (ASM) plugin in #OpenChrom is now available for free via the Lablicate marketplace. It was free for members of academia already. Now it is free for everybody. We strongly believe in the mission of the Allotrope Foundation and that you should always be able to extract your data from our software with ease. Now you can set your data free!

🔔𝐍𝐞𝐰 𝐖𝐡𝐢𝐭𝐞 𝐏𝐚𝐩𝐞𝐫: 𝐀𝐜𝐡𝐢𝐞𝐯𝐢𝐧𝐠 𝐀𝐈 𝐑𝐞𝐚𝐝𝐢𝐧𝐞𝐬𝐬 𝐢𝐧 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 AI has the potential to transform scientific discovery—but only when built on high-quality, standardized, and accessible data. Many organizations face challenges such as disparate data formats, fragmented experimental results, and inconsistent metadata, which limit AI’s impact. Our latest white paper explores how ZONTAL’s platform facilitates AI readiness through: • Standardizing and unifying scientific data with the Allotrope Simple Model (ASM) to ensure data consistency and interoperability • Enhancing metadata with contextual information to improve data accessibility and compliance with FAIR principles • Integrating LIMS, ELNs, and lab systems to consolidate experimental results and eliminate data silos • Supporting long-term data accessibility through digital preservation and automated workflows ➤ Read the white paper here: https://lnkd.in/gCc5dr-U #AIReadiness #LifeSciences #FAIRData #DigitalTransformation #ScientificInnovation #DataManagement #ResearchExcellence

𝗛𝗮𝗿𝗺𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗗𝗮𝘁𝗮 𝗳𝗿𝗼𝗺 𝗙𝗹𝗼𝘄 𝗖𝘆𝘁𝗼𝗺𝗲𝘁𝗿𝘆: 𝗢𝗻𝗴𝗼𝗶𝗻𝗴 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗯𝘆 𝘁𝗵𝗲 𝗔𝗹𝗹𝗼𝘁𝗿𝗼𝗽𝗲 𝗙𝗹𝗼𝘄 𝗖𝘆𝘁𝗼𝗺𝗲𝘁𝗿𝘆 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽 We are excited to share that the Allotrope Foundation Flow Cytometry Working Group is actively developing a standardized Allotrope Simple Model (#ASM) for Flow Cytometry. This effort builds upon well-established Flow Cytometry standards, such as #FCS (Flow Cytometry Standard) and Gating-ML 2.0, which are supported and maintained by the International Society for Advancement of Cytometry. By ensuring seamless integration with existing workflows, this initiative enhances data interoperability and reusability across scientific domains. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗙𝗹𝗼𝘄 𝗖𝘆𝘁𝗼𝗺𝗲𝘁𝗿𝘆? Flow Cytometry is a powerful analytical technique used to measure the physical and chemical properties of individual cells or particles in a fluid as they pass through a laser-based detection system. It is widely applied in immunology, oncology, microbiology, and clinical diagnostics. By enabling high-throughput, single-cell analysis, Flow Cytometry plays a critical role in biomedical research, drug development, and clinical decision-making. 𝗪𝗵𝘆 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝘁𝘁𝗲𝗿𝘀? Existing Flow Cytometry standards are highly specific to the technique but do not provide a cross-cutting framework for multi-modal analytical data integration. Standardizing Flow Cytometry data within ASM will: • Streamline data integration across different instruments and platforms • Enhance interoperability with software solutions, analytical pipelines and #workflows • Enable #AI/#ML driven insights by ensuring structured, high-quality data • Facilitate seamless data sharing across research and clinical applications 𝗔 𝗖𝗮𝗹𝗹 𝘁𝗼 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻! We invite researchers, industry leaders, data scientists, and technology providers to join us in shaping this critical standardization effort. By working together, we can create a robust, #FAIR (Findable, Accessible, Interoperable, and Reusable) data ecosystem that fosters innovation, accelerates discovery, and enables the next generation of AI-powered analytics. 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗻𝗴 𝗼𝗿 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗿𝗲? https://www.allotrope.org/ 𝗥𝗲𝗮𝗰𝗵 𝗼𝘂𝘁 𝘁𝗼𝗱𝗮𝘆: more.info@allotrope.org #DataStandardization #DataStandards #LabDataStandardization #FAIRData #Interoperability #ScientificData #AnalyticalDataStandards #InstrumentDataManagement #LabInformatics #AnalyticalData #AnalyticalChemistry #AnalyticalLaboratory #DataScience #AI #ML #DigitalTransformation #LaboratoryAutomation #WorkflowAutomation #DigitalLab #LabEfficiency #LifeSciences #MaterialScience #LaboratoryInnovation #Innovation #PharmaInnovation #ChemicalInnovation #KnowledgeRepresentation #FlowCytometry ##SingleCellAnalysis

𝗛𝗮𝗿𝗺𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗗𝗮𝘁𝗮 𝗳𝗿𝗼𝗺 𝗠𝗔𝗟𝗗𝗜-𝗧𝗢𝗙: 𝗢𝗻𝗴𝗼𝗶𝗻𝗴 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗯𝘆 𝘁𝗵𝗲 𝗔𝗹𝗹𝗼𝘁𝗿𝗼𝗽𝗲 𝗠𝗮𝘀𝘀 𝗦𝗽𝗲𝗰𝘁𝗿𝗼𝗺𝗲𝘁𝗿𝘆 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽 We are excited to share that the Allotrope Foundation Mass Spectrometry Working Group is actively working on a standardized Allotrope Simple Model (#ASM) for MALDI-TOF (Matrix-Assisted Laser Desorption Ionization - Time Of Flight) technique. This work was initiated by Lablicate GmbH to drive harmonization and innovation in laboratory data management, supporting research, discovery, quality control, and advanced analytics across life sciences and material sciences. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗠𝗔𝗟𝗗𝗜-𝗧𝗢𝗙? MALDI-TOF is a powerful mass spectrometry technique that analyzes the mass of molecules in a sample, widely used for identifying and characterizing biomolecules such as proteins, peptides, and polymers. It excels in delivering rapid and accurate analysis with minimal sample preparation, making it invaluable for applications in proteomics, microbiology, and material science. 𝗪𝗵𝘆 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝘁𝘁𝗲𝗿𝘀? Standardizing MALDI-TOF data will: • Streamline data integration across platforms • Improve interoperability between instruments and software solutions • Enable advanced analytics, #AI/#ML #workflows and facilitate seamless data sharing 𝗔 𝗖𝗮𝗹𝗹 𝘁𝗼 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻! We invite industry leaders, researchers, data scientists and technology providers to join us in shaping this exciting initiative and the analytical lab data standardization. Collaboration is essential to build a robust, open, and interoperable ecosystem that fosters innovation and accelerates discovery.  Let's make data more #FAIR — Findable, Accessible, Interoperable, and Reusable! 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗻𝗴 𝗼𝗿 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗿𝗲? https://www.allotrope.org/ 𝗥𝗲𝗮𝗰𝗵 𝗼𝘂𝘁 𝘁𝗼𝗱𝗮𝘆! more.info@allotrope.org #DataStandardization #DataStandards #LabDataStandardization #FAIR #FAIRData #Interoperability #ScientificData #AnalyticalDataStandards #InstrumentDataManagement #LabInformatics #AnalyticalData #AnalyticalChemistry #AnalyticalLaboratory #DataScience #AI #ML #DigitalTransformation #LaboratoryAutomation #WorkflowAutomation #DigitalLab #LabEfficiency #LifeSciences #MaterialScience #LaboratoryInnovation #Innovation #PharmaInnovation #ChemicalInnovation #KnowledgeGraph #KnowledgeRepresentation  #MassSpectrometry #MALDITOF

ZONTAL had a great time at SLAS (Society for Laboratory Automation and Screening) in San Diego, connecting with industry leaders and showcasing how we simplify scientific data preservation, standardization, and visualization. ZONTAL is a FAIR data platform that ingests, standardizes, and enriches data from various scientific instruments. Using the Allotrope Foundation's framework as the foundation for standardization, we ensure that data is structured in a FAIR (Findable, Accessible, Interoperable, and Reusable) format, allowing researchers to access and analyze it without needing specialized tools. We also build visualizers to enhance data interpretation directly within our platform. ZONTAL ensures long-term data preservation, allowing organizations to retain access to their scientific data as technology evolves. At SLAS, we highlighted how ZONTAL streamlines instrument workflows, enabling users to send instrument requests, collect and standardize data, and maintain seamless data continuity—all within a unified platform. We also showcased our integration with our sister company, Mestrelab Research S.L., through their Mnova software, enhancing instrument connectivity and enabling a seamless process for requesting, processing, and analyzing data. Thank you to Rizwan Chaudhrey for interviewing our own Dan DeAlmeida and discussing how ZONTAL is shaping the future of data management and integration in life sciences. ➤ If you are interested in learning more, connect with our team here: https://lnkd.in/gtuWddk8 #FAIRDataPlatform #DataPreservation #LifeSciences #DigitalTransformation #FAIRData #SLAS2025 #AllotropeFramework #LabAutomation #ScientificData #AIforScience #BigData #RDM #DataIntegrity #ScientificInnovation

While working with Allotrope Foundation files, which support multiple data cubes at once, I noticed a limitation in my initial UI for MS in #OpenChrom. It could only display one mass spectrum at a time. Today's release adds a brand-new toolbar that allows you to switch between them. There are also more buttons on the toolbar. If you are curious, follow the link in the comments for more.

🔔2024: 𝐘𝐞𝐚𝐫 𝐢𝐧 𝐑𝐞𝐯𝐢𝐞𝐰 - As we close 2024, ZONTAL is proud to reflect on the impact we’ve made in advancing data management and digital transformation within the life sciences industry. This year’s success would not have been possible without the dedication of our talented team, the collaboration of our incredible partners, and the trust of our valued clients. In 2024 ZONTAL collaborated with leading organizations to host a series of webinars exploring actionable strategies in data management, AI integration, and digital transformation. These sessions offered expert insights into key industry challenges and solutions. A special thank you to Astrix, On Time Edge, CSols Inc., Mestrelab Research S.L., SciY, 20/15 Visioneers, Pistoia Alliance, and GSK for their expertise and contributions to making these webinars a success. Here’s a list of the on-demand webinars now available: • 𝗟𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝘆 𝗗𝗮𝘁𝗮 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗖𝗼𝗻𝘀𝗼𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 – with Astrix: https://lnkd.in/gNCQN5Kd • 𝐌𝐚𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐃𝐫𝐞𝐚𝐦 𝐚 𝐑𝐞𝐚𝐥𝐢𝐭𝐲 – with CSols Inc.: https://lnkd.in/gehMhknc  • 𝐌𝐞𝐬𝐭𝐫𝐞𝐥𝐚𝐛 𝐌𝐧𝐨𝐯𝐚 & 𝐙𝐎𝐍𝐓𝐀𝐋 𝐉𝐨𝐢𝐧 𝐅𝐨𝐫𝐜𝐞𝐬 𝐟𝐨𝐫 𝐍𝐞𝐱𝐭-𝐋𝐞𝐯𝐞𝐥 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 – with Mestrelab Research S.L. & SciY: https://lnkd.in/gKSVk4dq  • 𝐋𝐢𝐟𝐞 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭, 𝐓𝐮𝐫𝐧𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 – with 20/15 Visioneers: https://lnkd.in/gEXen7QW  • 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐚 𝐅𝐀𝐈𝐑 𝐃𝐚𝐭𝐚 𝐋𝐚𝐲𝐞𝐫 𝐚𝐬 𝐘𝐨𝐮𝐫 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐏𝐫𝐞𝐬𝐞𝐫𝐯𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 – with 20/15 Visioneers: https://lnkd.in/g3-6EYSK  • 𝐔𝐭𝐢𝐥𝐢𝐳𝐢𝐧𝐠 𝐅𝐀𝐈𝐑 𝐃𝐚𝐭𝐚 𝐭𝐨 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐀𝐜𝐫𝐨𝐬𝐬 𝐘𝐨𝐮𝐫 𝐋𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐲 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 – with 20/15 Visioneers: https://lnkd.in/gyzuiYqM  • 𝐁𝐞𝐭𝐭𝐞𝐫 𝐭𝐨 𝐁𝐞𝐬𝐭 𝐄𝐋𝐍 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 – with 20/15 Visioneers: https://lnkd.in/gGdxDc2Y  • 𝐌𝐚𝐱𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐂𝐚𝐩𝐭𝐮𝐫𝐞𝐝 𝐛𝐲 𝐭𝐡𝐞 𝐋𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐲 𝐓𝐡𝐫𝐨𝐮𝐠𝐡 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 – with 20/15 Visioneers: https://lnkd.in/gB2NArMV This year, ZONTAL also participated in premier industry events, including BioTechX, SmartLab Exchange, Lab of the Future, Bio-IT World, and Allotrope Foundation's Allotrope Connect Workshop. At these events, we co-presented with Merck and US Pharmacopeia, showcasing how our solutions are shaping the future of scientific data management. As we prepare for 2025, ZONTAL is dedicated to delivering innovative, sustainable solutions that empower organizations to meet evolving needs and drive progress in the life sciences industry. #DataManagement #LifeSciences #FAIRData #DigitalTransformation #Innovation #ScientificData

𝗛𝗮𝗿𝗺𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗗𝗮𝘁𝗮 𝗳𝗿𝗼𝗺 𝗕𝗶𝗻𝗱𝗶𝗻𝗴 𝗔𝗳𝗳𝗶𝗻𝗶𝘁𝘆 𝗔𝗻𝗮𝗹𝘆𝘇𝗲𝗿𝘀: 𝗢𝗻𝗴𝗼𝗶𝗻𝗴 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗯𝘆 𝘁𝗵𝗲 𝗔𝗹𝗹𝗼𝘁𝗿𝗼𝗽𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽 We are excited to share that the Allotrope Foundation Modeling Working Group is actively working on a standardized Allotrope Simple Model (#ASM) for Binding Affinity Analyzers. This work was initiated by the Benchling team to drive harmonization and innovation in laboratory data management, from early research of drug discovery and development, and on to quality control (#QC). 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗕𝗶𝗻𝗱𝗶𝗻𝗴 𝗔𝗳𝗳𝗶𝗻𝗶𝘁𝘆 𝗔𝗻𝗮𝗹𝘆𝘇𝗲𝗿? Binding Affinity Analyzers are essential instruments in life sciences and materials research, enabling precise measurement of #molecular interactions—critical for drug discovery, antibody development, and #biomolecular research. These instruments help determine how tightly two molecules bind, providing insights into mechanisms that drive innovation. 𝗗𝗲𝘁𝗲𝗰𝘁𝗼𝗿 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀: Binding affinity instruments use various cutting-edge detection techniques, such as: • Surface Plasmon Resonance (SPR) • Isothermal Titration Calorimetry (ITC) • Biolayer Interferometry (BLI) • Fluorescence-Based Techniques The first ASM model to be released will focus on 𝗦𝗣𝗥, a highly versatile technique for real-time, label-free analysis of biomolecular interactions. 𝗪𝗵𝘆 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝘁𝘁𝗲𝗿𝘀? By developing a standardized ASM, we aim to: • Simplify data integration across platforms • Enhance interoperability between instruments and software solutions • Enable advanced analytics, #AI/#ML #workflows, and seamless data sharing 𝗔 𝗖𝗮𝗹𝗹 𝘁𝗼 𝗔𝗰𝘁𝗶𝗼𝗻! We invite industry leaders, researchers, data scientists, and technology providers to join us in shaping the analytical lab data standardization. Collaboration is key to building an open, interoperable ecosystem that supports innovation across life sciences and beyond. Let’s work together to make data more #FAIR — Findable, Accessible, Interoperable, and Reusable! 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗻𝗴 𝗼𝗿 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗿𝗲? https://www.allotrope.org/ 𝗥𝗲𝗮𝗰𝗵 𝗼𝘂𝘁 𝘁𝗼 𝘂𝘀 𝘁𝗼𝗱𝗮𝘆! more.info@allotrope.org #DataStandardization #DataStandards #LabDataStandardization #FAIR #FAIRData #Interoperability #ScientificData #AnalyticalDataStandards #InstrumentDataManagement #LabInformatics #AnalyticalChemistry #AnalyticalLaboratory #DataScience #DigitalTransformation #LaboratoryAutomation #WorkflowAutomation #DigitalLab #LabEfficiency #LifeSciences #MaterialScience #ASM #LaboratoryInnovation #Innovation #PharmaInnovation #ChemicalInnovation 

Merck 𝗮𝘁 Bio-IT World 𝟮𝟬𝟮𝟱: "𝗘𝗻𝗮𝗯𝗹𝗶𝗻𝗴 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗖𝗵𝗿𝗼𝗺𝗮𝘁𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰 𝗗𝗮𝘁𝗮 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗮𝗻𝗱 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝗗𝗮𝘁𝗮 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 Allotrope Foundation 𝗦𝗶𝗺𝗽𝗹𝗲 𝗠𝗼𝗱𝗲𝗹 (𝗔𝗦𝗠) 𝗩𝗲𝗻𝗱𝗼𝗿-𝗡𝗲𝘂𝘁𝗿𝗮𝗹 𝗗𝗮𝘁𝗮 𝗙𝗼𝗿𝗺𝗮𝘁" In today’s R&D #laboratories, vast amounts of diverse data are generated using heterogeneous hardware and software solutions from various vendors. This data heterogeneity and the challenge of integrating information from multiple sources create significant obstacles for scientists' daily workflows. The presentation will showcase how the Allotrope Simple Model (ASM) enables the standardization of #chromatographic data at scale, streamlining technical architectures to enhance scalability. Additionally, it highlights the transformative potential of #ASM in facilitating on-demand data consumption, such as real-time visualizations and integration into #AI/#ML pipelines, paving the way for accelerated data insights. For more details on the "𝗣𝗵𝗮𝗿𝗺𝗮𝗰𝗲𝘂𝘁𝗶𝗰𝗮𝗹 𝗥&𝗗 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀: 𝗧𝗵𝗲 𝗟𝗮𝗯 𝗼𝗳 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 – 𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝗶𝗲𝘀 𝗶𝗻 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗶𝗻 𝗥𝗲𝗮𝗹 𝗧𝗶𝗺𝗲" track, taking place Friday, April 4, visit: https://lnkd.in/gt5fGiiu