Data Platform
Data Platform

Data Platform

Capturing, Centralizing and Preserving  Data Across your Organization
AI & Automation
Readiness
Data ingestion and standardization to vendor neutral format. FAIR (Findable, Accessible, Interoperable and Reusable) data
Data Preservation
Accessible, long-term data storage. Customizable retention and secure back up with reliable restoration and disaster recovery
Data to Knowledge
Data driven decisions enabled by self describing data assets, enriched along the data life cycle with contextual metadata
Security & Compliance
State-of-the-art cloud environment and quality system, designed with cybersecurity, data integrity and 21CFPR part 11 in mind

SciY's Data Platform automates the process for capturing and centralizing data across an organization, making the data Findable, Accessible, Interoperable and Reusable (FAIR). It provides a common metadata standard for all instrument and analysis data and supports your ontology to ensure that all data is ready for use within your business’ AI and analytics pipelines.

 

The Data Platform collects and preserves data sets captured by scientific and non-scientific applications. It  streamlines data processing and analysis via standardized data formats and interfaces. The platform supports integration of instrument data and lab informatics solutions, metadata extraction, and contextual metadata enrichment. It is a FAIR Data Platform for Self-Describing Data Assets (SRDA) which are an efficient representation of data and descriptive information that enables full interpretation of data assets without external dependencies (such as databases).

SciY's digitalization Data Platform centralizes all data generated into a vendor-neutral format aligned with your business’ ontology. 

Managing the end-to-end data life cycle

Benefits

  • A Data Platform that manages the complete lifecycle of the original raw, processed, and analyzed data generated by laboratory systems

 

  • An API first platform to allow data to be pushed or pulled from any application (enabling use cases such as data mining, machine learning, etc.)

 

  • A FAIR Data Platform that aligns data to a centralized standard ontology

 

  • An event-based architecture to enable data automation
     
  • A framework to deliver machine learning models to end-users in the enterprise 
  • An Analytical Platform Hub to extract data from ingested files and make the data available through standard SQL calls 

 

  • A framework for rapid deployment of single source or multi-variant data visualizations 

Leading the field in data preservation and transforming how valuable data is stored and managed over time, our solution ensures long-term archival, with data not only secured but also organized for easy access and reuse. This careful structuring of data supports everything from research and development to regulatory reporting, promoting a culture of data-driven decision-making. Our Platform  seamlessly converts large volumes of data into valuable insights and ensures accessible, long-term data storage.

Articles


Scientific Data Cleansing and Data Management for Artificial Intelligence (AI)


What Is Laboratory Data Management?


Unlocking the Power of Scientific Data: A Data Scientist’s Perspective

Webinars


September 25, 2024
Creating a FAIR Data Layer as Your Foundation for Data Preservation and Integration


July 17, 2024
Life Science Data Management, Turning Data into Insights


October 22, 2024
Utilizing FAIR Data to Integrate Across Your Laboratory Ecosystem