Academic Researchers
Technique Analysis
Compliance
Collaboration
for Academia
Transforming Research Data into a Valuable, Reusable Asset
Managing research data effectively is a challenge, with data coming from disparate systems in different formats and the growing compliance and funding requirements. Ensuring that data is Findable, Accessible, Interoperable, and Reusable (FAIR) is now critical, even for publicly funded research. At the same time, researchers need flexible tools for data analysis, experiment tracking, and inventory management—all without exceeding academic budgets. SciY provides a complete digital ecosystem designed for academic research. Our FAIR data management platform ensures structured, standardized data handling. We also offer advanced analysis tools for MS, NMR, chromatography, and other spectroscopy data, all in one interface, with a single look and feel. And with our ELN and inventory management solutions, researchers can efficiently document experiments and track compounds, benefiting from an integrated end to end research workflow.
Benefits
- Centralized FAIR Data Management: Ensure research data remains organized, standardized, and accessible for long-term use with our FAIR-compliant platform. Seamlessly access past experiments, comply with funding agency requirements, and future-proof your research for evolving technologies and collaborations.
- Multi-Technique Data Analysis: Process and interpret MS, NMR, chromatography, and other spectroscopy data efficiently within a single platform. Our vendor-agnostic tools eliminate compatibility barriers, allowing data analysis from different instruments and techniques in a single platform, ensuring accurate, reproducible results while reducing manual data handling efforts.
- Streamlined Experiment Documentation: Keep research organized with Electronic Lab Notebooks (ELN) and structured compound management tools. Capture experiment details, track reagents and samples, and link data to findings in a searchable, structured environment, ensuring compliance with institutional policies, and seamless collaboration across groups and departments.
- Effortless Collaboration & Compliance: Share research data and collaborate across universities, research groups, and funding agencies without compromising data security, ensuring that sensitive and proprietary information remains protected while still enabling knowledge exchange.
- Cost-Effective & Scalable for Academia: Gain access to enterprise-grade research tools at academic-friendly prices, making high-quality data management and analysis accessible to universities, research groups, and individual scientists.
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