Enabling Data Discovery through Virtual Internet Repositories

TL;DR

Mercury is a federated metadata search tool that enables fast, spatially-aware data discovery across distributed repositories, supporting multiple formats and user-friendly interfaces for diverse scientific data sources.

Contribution

This paper introduces a new version of Mercury with significant performance improvements, expanded metadata support, and spatial query integration, enhancing data discovery capabilities.

Findings

Order of magnitude faster search speeds

Supports additional metadata formats

Integrates with Google Maps for spatial queries

Abstract

Mercury is a federated metadata harvesting, search and retrieval tool based on both open source and software developed at Oak Ridge National Laboratory. It was originally developed for NASA, and the Mercury development consortium now includes funding from NASA, USGS, and DOE. A major new version of Mercury was developed during 2007. This new version provides orders of magnitude improvements in search speed, support for additional metadata formats, integration with Google Maps for spatial queries, support for RSS delivery of search results, among other features. Mercury provides a single portal to information contained in disparate data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfaces then allow the users to perform simple, fielded, spatial and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data.