Research & Laboratory ManagementPurpose
1.2. Automates the transfer of real-time measurement results, details, and metadata into digital repositories, ELNs (Electronic Lab Notebooks), or LIMS (Laboratory Information Management Systems) for later analysis and reporting.
1.3. Centralizes and automates documentation, audit trails, and data traceability necessary for regulatory and scientific requirements.
Trigger Conditions
2.2. Scheduled intervals, e.g., every hour, day, or upon experiment completion.
2.3. Manual trigger from lab operator panel for on-demand data sync.
2.4. API webhook event from instrument software or control system.
2.5. Files written to a monitored folder or network location by connected instruments.
Platform Variants
• Feature/Setting: REST API / Data Import Service — configure endpoint to receive JSON/XML from instrument middleware.
3.2. Thermo Fisher SampleManager
• Feature/Setting: Integration Manager API — set up automated data push from instrument control software.
3.3. Benchling
• Feature/Setting: Data API — automate data import to project or workflow upon experiment completion.
3.4. Labguru
• Feature/Setting: ELN API — configure to receive automated HTTP POST from acquisition system.
3.5. TetraScience
• Feature/Setting: Tetra Data Platform Connectors — automate ingest pipeline from chromatography/mass spectrometry data.
3.6. STARLIMS
• Feature/Setting: Web Services API — automate XML/JSON document ingestion into sample records.
3.7. OpenLab CDS (Agilent)
• Feature/Setting: Data Export API — export finished runs to monitored cloud storage for automated pickup.
3.8. Waters Empower
• Feature/Setting: Empower Toolkit — trigger automated export and transfer through external script integration.
3.9. LabArchives
• Feature/Setting: REST API — setup automated ELN entry creation from CSV/JSON input.
3.10. Dotmatics Studies
• Feature/Setting: Data Import Automation — configure import jobs pulling from FTP/SFTP locations.
3.11. Sciex OS Software
• Feature/Setting: Autosave Configuration — automated file drop post-acquisition to networked location.
3.12. PerkinElmer Signals Notebook
• Feature/Setting: API Data Connector — set scheduled POST requests for automating instrument data capture.
3.13. LabCollector
• Feature/Setting: Data Import API — receive data files via automated FTP/API calls.
3.14. Salesforce Health Cloud
• Feature/Setting: External Services — connect and automate laboratory result object population via custom API.
3.15. Microsoft Power Automate
• Feature/Setting: HTTP/Webhook Trigger — invokes a flow to move instrument data into SharePoint/Excel/O365.
3.16. Zapier
• Feature/Setting: Webhooks by Zapier — automate collection and transformation of data into Google Sheets or other endpoints.
3.17. AWS Lambda
• Feature/Setting: API Gateway trigger — automate processing and storage to S3/Redshift on event.
3.18. Google Cloud Functions
• Feature/Setting: Pub/Sub Trigger — capture and route new data files from lab networks to BigQuery or Cloud Storage.
3.19. IBM Watson IoT Platform
• Feature/Setting: Device Event Processing — automate collection from instrument sensors and streaming to cloud database.
3.20. KNIME Analytics Platform
• Feature/Setting: File/Database Watcher Node — automate workflow initiation on new instrument data arrival.
Benefits
4.2. Automates error reduction, ensuring accuracy and data integrity for regulatory audit and reproducibility.
4.3. Streamlines automated data centralization for collaborative multi-user projects.
4.4. Enables automatable analytics and real-time reporting, accelerating insights discovery and publication.
4.5. Strengthens automating compliance through full audit trails and secure access control.
4.6. Automatedly supports remote lab management, easing data access for faculty, researchers, and students.