Automatic Data Collection and Transfer

You can use our growing Prebuilt library of LDAS connectors to automate the transfer of data from your instruments, ensuring real-time retrieval. This process upholds data integrity by adhering to ALCOA+ principles.

Data Acquisition

As part of daily laboratory activities, a large volume of raw data is generated by your laboratory instruments during experiments. LDAS uses instrument specific connectors in the edge to interface with your instruments and the software that maintains them. These connectors communicate using protocols like RS232 and OPC, capturing data in real-time. This ensures that the information is immediately available for analysis.

Real-Time Transfer

The captured data is automatically transferred to LDAS in the cloud. This process is continuous and prompt, eliminating the need for manual data handling and reducing the risk of errors. You get a steady stream of data flowing from your instruments.

Integrity Checks

As the data is transferred, LDAS performs integrity checks to ensure it adheres to ALCOA+ principles:

Attributable: Each data point is linked to the specific instrument and user who generated it
Legible: Data is recorded in a clear and readable format
Contemporaneous: Data is recorded at the time of generation
Original: The data remains in its original form, unaltered
Accurate: Data is precise and correct

These checks validate the data, ensuring it is reliable and unaltered. Any discrepancies are flagged for review by exception.

Logging and Storage

Once the results are reviewed, all the data within LDAS are metadata tagged. Metadata includes information such as the source of the data, the timestamp of data capture, instrument settings, user information, data format, version history. This ensures all data within LDAS is well-organized and easily accessible.

The validated data, along with its metadata, can be stored in an external cloud storage or in a centralized repository within LDAS. This centralized repository within LDAS uses both primary and secondary storage systems. Primary storage is where your data is initially stored for short-term, frequent access. Based on your archival policy, this data is then moved to secondary storage, which is designed for long-term, low-cost storage. The data remains in secondary storage until it reaches its retention date. This dual-storage approach ensures that all collected data is securely stored and easily accessible for future analysis, providing you with a robust and reliable data management system.

Audit Trails

For each data entry, LDAS creates an audit trail that documents the entire data lifecycle from capture to storage. This includes timestamps, user actions, and any modifications made to the data.

The audit trail ensures full traceability of the data, providing a detailed record of its history. This is significant for compliance with regulatory requirements and maintaining data integrity.

Standardize Lab Data with LDAS

LDAS standardizes your data, making it easier for you to analyze by ensuring that all data follows a consistent format. A consistent format means that all your data are organized and presented uniformly for achieving accurate and reliable results.

Data Process Sequence

Data Ingestion Parsing and Processing Metadata Enrichment Validation and Quality Checks Harmonization Centralized Storage

You start by ingesting raw data from various instruments into LDAS. This means that all the data generated by your various lab instruments is collected and brought into the LDAS system. X

Once your data is ingested, LDAS parses it into a standardized machine-readable JSON document. This involves breaking down the data into key elements like metadata, sample information, material information, raw data, timestamps, measurement units, and other relevant details, making it easier for you to work with. This approach ensures that your instrument data is transformed to a common data model enabling analytics and visualisation from your data store X

Your data is enriched with metadata, which provides additional context and improves searchability. Metadata includes information like the source of the data, the date and time it was collected. LDAS can also pull metadata information from external MDM systems. This makes it easier to find and understand your data. X

The standardized data undergoes validation and quality checks to ensure its accuracy and completeness. LDAS checks the data against predefined criteria to confirm that it meets the required standards, flagging any issues for review. X

Finally, LDAS aligns your data with common standards and ontologies, such as Allotrope and AnIML. This harmonization process ensures that your data is compatible with other systems and can be seamlessly integrated, facilitating broader analysis and collaboration. X

Once your data is validated, you can store it in external storage or in a centralized repository within LDAS. This makes it easy for you to access and analyse your data, providing a reliable reference for all your laboratory information. X

Data Orchestration Across Instruments and Applications

With LDAS, you have access to pre-built components and the flexibility to create custom BPMN (Business Process Model and Notation) components. This allows you to design and automate your protocols more easily and quickly, tailoring workflows to meet your specific needs.

Seamless Integration

LDAS ensures smooth integration across various systems and platforms. This means you can connect and synchronize data from different sources without compatibility issues, creating a unified and efficient workflow.

Business Rules Validation

This feature enables data validation through exception-based reviews. It ensures that your data meets predefined business rules and standards, flagging any exceptions for review. This helps maintain data integrity and accuracy.

Automated Analysis

LDAS supports automated analysis by executing Python-based models, launching external jobs like Next-Generation Sequencing (NGS) pipelines, and running AWS Lambda functions. This automation streamlines complex data analysis tasks, saving you time and reducing the potential for human error.

Instrument Integration and Archival

The system includes components for integrating and archiving data from various instruments. This ensures that all instrument data is captured, stored, and easily retrievable for future reference or analysis.

JSON File Generation

LDAS can generate JSON files for the entire protocol or process, accommodating multiple instruments. This feature is useful for data exchange and interoperability, as JSON is a widely accepted format for data representation.

Centralized Data Management

You can use LDAS to consolidate your data into a centralized platform, enabling efficient data management and streamlined access. This centralization ensures that all your data is stored in a single location, making it easier for you to manage, access, and analyze.

With LDAS, you can consolidate all your data into a single platform, like organizing your entire project's data into one folder. This means you can gather and store information from various instruments and sources in one place. This centralization simplifies the management process, making it easier to track and organize your data. Additionally, centralized storage ensures that your data is easily accessible for analysis. Instead of searching through multiple systems or files, you can quickly find and retrieve the data you need from one central repository using advanced search. This streamlined access saves you time and effort, allowing you to focus more on your research and analysis.

Integration with Third-Party Applications

You can integrate LDAS with third-party applications, enabling seamless data exchange and improving your overall laboratory workflows. This integration allows you to perform comprehensive analysis by combining data from various sources and applications.

LDAS integrates effortlessly with third-party applications such as ELN (Electronic Laboratory Notebook), LIMS (Laboratory Information Management System), data lake, data storage and visualization tools. This integration offers several benefits, including improved data accuracy, reduced manual entry errors, and enhanced collaboration within your laboratory. This integration is achieved through pre-built connectors that link various instruments and applications. By connecting LDAS with these systems, you can establish a unified workflow that ensures smooth data transfer between different platforms.