ELN Metadata Integration for Environmental Data Context

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Solution Overview

Problem

Existing record-keeping and data storage systems in scientific and manufacturing processes lack integration of environmental data, which is crucial for understanding the impact of environmental conditions on measurements and experiments.

Innovation Solution

The integration of environmental data, such as temperature and humidity, into metadata associated with measurement data within electronic laboratory notebook (ELN) systems, allowing for the creation of aggregated data files that include both measurement and environmental data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If environmental sensor data is integrated into ELN metadata, then contextual understanding of measurements is improved, but device complexity increases

Engineering Contradiction:

Improvecontextual understandingVSAvoidsystem complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent merges environmental sensor data with measurement data by integrating environmental metadata directly into the ELN data structure. Environmental parameters (temperature, humidity, pressure) are combined with measurement records in a unified data structure, allowing both data types to be stored, retrieved, and analyzed together without requiring separate systems.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The ELN system is enhanced to serve multiple functions: it not only stores measurement data but also automatically collects, stores, and manages environmental metadata. The system becomes a universal platform that handles both experimental measurements and environmental conditions through a single integrated interface, eliminating the need for separate environmental monitoring systems.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Reliability

If environmental data is collected and stored with measurement data, then reliability of measurements is improved, but loss of time in data collection increases

Engineering Contradiction:

Improvemeasurement reliabilityVSAvoiddata collection time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

Environmental sensors are deployed and configured in advance of the measurement process. The sensors continuously monitor environmental conditions and automatically tag measurement data with relevant environmental metadata at the moment of measurement, eliminating the need for manual data collection and reducing post-experiment data processing time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system performs self-service by automatically collecting environmental data and attaching it to measurement records without requiring manual intervention. The environmental sensors operate autonomously, continuously monitoring conditions and automatically integrating their data with measurement records through automated metadata tagging, thereby reducing human time investment while improving data reliability.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250027795A1Systems and Methods to Integrate Environmental Information into Measurement Metadata in an Electronic Laboratory Notebook Environment

Publication Date: 2025.01.23 ELEMENTAL MACHINES INC

AI summary

An empirical data management system (EDMS), such as an electronic laboratory notebook (ELN) system, includes an application server running an EDMS server application, a data storage system containing data in communication with the application server, and an environmental sensor unit in communication with the application server. The data comprises environmental data received from the environmental sensor unit.