DUODUOTECH

Knowledge Infrastructure

Build FAIR data pipelines, customize LIMS/ELN systems, and design robust ontologies for scalable, interoperable scientific data management.

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FAIR Data Principles in Practice

Scientific research generates vast amounts of data, but without proper infrastructure, this data becomes siloed, inaccessible, and ultimately wasted. Our Knowledge Infrastructure services implement FAIR principles—making data Findable, Accessible, Interoperable, and Reusable.

We design and implement comprehensive data management systems that ensure your research data is properly structured, annotated, and accessible to stakeholders while maintaining security and compliance.

Our Knowledge Infrastructure Services

FAIR Data Pipeline Design

Comprehensive data management pipelines that implement FAIR principles throughout the data lifecycle.

  • Findable: Persistent identifiers and metadata standards
  • Accessible: Authentication, authorization, and retrieval protocols
  • Interoperable: Standard formats and vocabularies
  • Reusable: Clear licenses, provenance, and documentation

LIMS/ELN System Customization

Tailor laboratory information management and electronic lab notebook systems to your workflows.

  • Workflow automation and integration
  • Custom data fields and templates
  • Instrument integration and data capture
  • Audit trails and compliance reporting

Ontology & Metadata Schema Design

Develop standardized vocabularies and metadata schemas for consistent data annotation and integration.

  • Custom ontology development
  • Integration with standard ontologies (ChEBI, GO, etc.)
  • Metadata schema design and validation
  • Semantic data integration

Data Governance & Security

Implement robust data governance frameworks that ensure security, privacy, and regulatory compliance.

  • Access control and user management
  • Data encryption and security protocols
  • Compliance with GDPR, HIPAA, GxP
  • Data retention and archival policies

Technologies & Platforms

PostgreSQL

Robust relational database for structured data management with advanced querying capabilities.

Neo4j

Graph database for complex relationships and network analysis in biological and chemical data.

BioPAX

Biological pathway exchange format for standardized representation of biological pathways.

ChEBI

Chemical entities of biological interest ontology for standardized chemical annotation.

Implementation Examples

Research Data Management

Centralized repository for multi-omics data with automated metadata capture, quality control, and FAIR-compliant sharing.

Clinical Trial Data

GxP-compliant LIMS/ELN system for clinical trial management with electronic signatures, audit trails, and regulatory reporting.

Drug Discovery Platform

Integrated knowledge graph linking chemical structures, biological targets, assay results, and literature for AI-powered insights.

Implementation Process

1

Requirements Analysis

Assess current systems, workflows, and data management challenges.

2

Architecture Design

Design scalable infrastructure aligned with FAIR principles and compliance needs.

3

System Implementation

Deploy databases, LIMS/ELN, and ontologies with comprehensive testing.

4

Training & Support

User training, documentation, and ongoing support for continuous improvement.

Ready to Build FAIR Data Infrastructure?

Contact us to learn how our knowledge infrastructure services can transform your data management and accelerate scientific discovery.

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