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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

The NERC DataGrid services.

S E Latham¹, R Cramer, M Grant

¹STFC Rutherford Appleton Laboratory, Didcot OX11 0QX, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|December 18, 2008

Summary

This summary is machine-generated.

The NERC DataGrid offers a central portal for data discovery, featuring a vocabulary service and software stack. It also supports local portals and data services for providers.

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Area of Science:

Environmental science
Data management

Background:

Effective data discovery is crucial for environmental research.
Managing and accessing diverse environmental datasets presents challenges.

Purpose of the Study:

To outline the core components of the NERC DataGrid.
To describe the deployment strategy for data discovery and access.

Main Methods:

Development of a discovery service.
Implementation of a vocabulary service.
Deployment of a software stack for central and local portals.

Main Results:

A functional data discovery portal is available centrally.
Local portals and data/metadata services are provided to data providers.
Integrated data and metadata services enhance accessibility.

Conclusions:

The NERC DataGrid provides a robust framework for environmental data discovery and access.
The distributed architecture supports both central discovery and local data management.