alt-SDMS is a modern, cloud-native alternative to traditional Scientific Data Management Systems. Unlike conventional SDMS, it actively manages and analyzes data rather than just storing it. This system emphasizes data standardization and ensures compliance with FAIR (Findable, Accessible, Interoperable, Reusable) principles, transforming data into a valuable, organized asset. Designed for flexibility and customizability, alt-SDMS integrates seamlessly with various laboratory instruments and software, enabling real-time data analysis and fostering innovation. By shifting from passive data storage to active data exploration, alt-SDMS drives biotech labs towards more efficient and groundbreaking scientific discoveries.

Integrating an SDMS with LIMS and ELN automates laboratory operations by eliminating the need for manual data transfer, reducing errors, and saving time. Scispot's SDMS software, designed for both wet and dry labs, ensures 100% compliance with 21 CFR Part 11 and ALCOA principles, enhancing data accuracy by reducing errors by 95%. This integration provides a seamless workflow from sample tracking (LIMS) to experiment documentation (ELN) to data analysis and storage (SDMS), ensuring data readiness for AI and adhering to FAIR data principles.

Scispot alt-SDMS enhances data integrity and security with chain-of-custody tracking, stringent security protocols, and robust data governance. This scientific data management system ensures 100% compliance with FDA 21 CFR Part 11, GDPR, and HIPAA regulations, adhering to ALCOA and FAIR principles. This ensures that data remains unaltered and secure throughout its lifecycle, significantly reducing the risk of data corruption or loss.

Scispot alt-SDMS is designed to handle real-time data streams from laboratory instruments efficiently. This SDMS software seamlessly integrates with various lab equipment, capturing data as it is generated and facilitating immediate analysis. This real-time data handling capability ensures researchers have access to the most current data, enabling timely decisions and adjustments to experiments. By streamlining the flow of real-time data, Scispot alt-SDMS significantly improves laboratory efficiency and the overall pace of research.

Scispot alt-SDMS offers AI-powered custom lab dashboards that allow researchers to create personalized dashboards using natural language. By simply describing their needs, researchers can visualize data instantly without any coding. This feature enhances data accessibility, simplifies data interpretation, and accelerates decision-making processes, making it easier to track, analyze, and act on laboratory data.

With all data centralized in Scispot alt-SDMS, the system leverages powerful AI and ML tools for advanced data analysis and reporting. The integration supports standardized data models and scientific ontologies, enabling seamless data transformation and analysis. This scientific data management system leads to more insightful conclusions and informed decision-making, significantly enhancing research outcomes.