Accessing SDL

SDL platforms are typically hosted by research institutions and provide web-based access to scientific data management tools. Contact your system administrator for:

• Login credentials and workspace access
• Platform URL and connection details
• Initial workspace assignment and permissions

First Login

Upon logging in, you'll see:

• Workspace dashboard - Your assigned projects and collaborative spaces
• Navigation sidebar - Quick access to data collections, workflows, and tools
• Content browser - Semantic organization of datasets, documents, and resources
• Activity feed - Recent changes and collaborative updates

Workspaces

Workspaces are collaborative environments where research teams organize projects, data, and workflows:

• Project Workspaces - Dedicated spaces for research initiatives
• Data Collections - Organized datasets with semantic metadata
• Collaborative Editing - Real-time content creation and annotation
• Access Control - Role-based permissions for team members

Semantic Content

SDL organizes information using semantic web standards, providing:

• Typed Content Blocks - Structured data with defined meanings
• Ontology Integration - Standard vocabularies for scientific domains
• Linked Data - Connections between related concepts and datasets
• Provenance Tracking - Complete history of data creation and modification

FAIR Principles

SDL implements FAIR data practices:

• Findable - Rich metadata and semantic search capabilities
• Accessible - Standardized interfaces and data formats
• Interoperable - RDF standards and ontology alignment
• Reusable - Clear licensing and comprehensive documentation

Creating Content

Content Organization

Data Annotation

Team Workspaces

Collaborate effectively with research partners:

• Shared Collections - Common access to project datasets
• Role-based Permissions - Control editing and viewing rights
• Activity Notifications - Stay informed about workspace changes
• Version Control - Track content evolution and maintain history

Content Editing

Work together on research documentation:

• Collaborative Editing - Multiple users editing content simultaneously
• Comment and Review - Provide feedback and suggestions on content
• Approval Workflows - Structured review and publication processes
• Change Tracking - Comprehensive audit trail of modifications

Communication Tools

Stay connected with team members:

• Workspace Chat - Discuss project details and coordinate activities
• Annotation Comments - Context-specific discussions on data and content
• Activity Streams - Follow updates and changes across workspaces
• Notification Settings - Customize alerts for relevant events

Laboratory Integration

For experimental platforms like ACL (Automated Chemistry Lab):

• Instrument Data Import - Direct integration with analytical equipment
• Experiment Tracking - Link protocols, samples, and results
• Provenance Capture - Automatic recording of experimental workflows
• Quality Control - Validation and review processes for experimental data

Data Analysis Workflows

SDL platforms often provide:

• Computational Notebooks - Jupyter integration for data analysis
• Visualization Tools - Interactive charts and scientific plotting
• Statistical Analysis - Built-in tools for common research methods
• Machine Learning - AI/ML pipeline integration for discovery workflows

External System Integration

Connect SDL with existing research infrastructure:

• LIMS Integration - Laboratory Information Management Systems
• Instrument APIs - Direct data acquisition from scientific equipment
• Repository Sync - Integration with institutional data repositories
• Publication Workflows - Export to manuscript and publication systems

Experimental Data

Structure laboratory and computational experiments:

• Protocol Documentation - Step-by-step experimental procedures
• Sample Metadata - Comprehensive sample characterization
• Measurement Data - Structured recording of observations and results
• Analysis Reports - Interpretation and conclusions from experiments

Research Documentation

Organize project information and findings:

• Project Descriptions - Goals, hypotheses, and research questions
• Literature Reviews - Systematic organization of relevant publications
• Meeting Notes - Collaborative documentation of discussions and decisions
• Progress Reports - Structured updates on research advancement

Data Management

Handle research data systematically:

• Data Management Plans - Documentation of data handling procedures
• Dataset Catalogs - Comprehensive listings of available research data
• Backup and Archive - Long-term preservation and access strategies
• Sharing Agreements - Documentation of data use and collaboration terms

Data Quality

Maintain high standards for research data:

• Complete Metadata - Fill all required fields and provide rich descriptions
• Consistent Naming - Use standardized file and content naming conventions
• Regular Validation - Periodically review and update content for accuracy
• Documentation Standards - Follow institutional and domain-specific guidelines

Collaboration Etiquette

Work effectively with team members:

• Clear Communication - Provide context and rationale for changes
• Timely Updates - Keep content current and respond to collaboration requests
• Respect Permissions - Honor access controls and editing responsibilities
• Constructive Feedback - Provide helpful comments and suggestions

Information Security

Protect sensitive research data:

• Access Controls - Use appropriate permissions for confidential content
• Regular Backups - Ensure critical data is properly preserved
• Secure Sharing - Follow institutional policies for data distribution
• Incident Reporting - Report security concerns to system administrators

Common Issues

Getting Help

API Access

For programmatic interaction with SDL:

• REST APIs - Standard HTTP interfaces for data access and manipulation
• GraphQL Endpoints - Flexible query interfaces for complex data retrieval
• Authentication - Token-based access for automated workflows
• Documentation - Comprehensive API reference and examples

Custom Integrations

Extend SDL functionality:

• Plugin Development - Create custom content types and workflows
• External Tool Integration - Connect SDL with specialized research software
• Data Pipeline Automation - Automate repetitive data processing tasks
• Reporting and Analytics - Generate custom reports and visualizations

Administrative Tasks

For workspace managers and administrators:

• User Management - Add, remove, and manage team member access
• Workspace Configuration - Customize settings and templates
• Content Moderation - Review and approve published content
• Performance Monitoring - Track usage and system performance metrics

Need additional help? Contact your platform administrator or visit the developer documentation for technical details and integration guidance.