Metacat 3.2.0 Release

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Jing Tao

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Apr 3, 2025, 1:48:28 PM4/3/25

to ESS-DIVE, eml-dev, devel...@dataone.org

We are pleased to announce a new release of Metacat (3.2.0), a turnkey data repository software platform used across the earth science community. This release introduces reliability enhancements for indexing new and changed datasets, along with crucial security updates for Apache Solr. It can be downloaded here.

For new installations, see the Installation notes and the Administrator’s Guide.

Metacat can also be deployed on Kubernetes, using a Helm chart. See the helm README.

Important: if you are upgrading an existing helm deployment, please be sure to read the section on Upgrading From Chart Version 1.x.x in the Release Notes.

New Features:

Here is a selection of new features in this release. Consult the Release Notes for the full list:

The introduction of RabbitMQ channel pooling, to improve the performance of submitting index tasks. (Issue 2032)
Many improvements to the bundled dataone-indexer, such as enabling index workers to recover and reconnect if their RabbitMQ connection is lost (e.g. due to network instability) (see dataone-indexer v3.1.2 release notes)
Increase the max number of attempts when solr version conflict errors occur (Issue 2060)
Helm chart 2.0.0 uses the PostrgeSQL version 17 database, and automates postgresql major-version upgrades (see Upgrading From Chart Version 1.x.x)

Upgrades and Bug Fixes include:

Updated Docker base image to tomcat:9.0.102-jre17-temurin-noble, to fix a potential vulnerability (CVE-2025-24813).
Upgrade solr library from 8.11.3 to 9.8 in metacat and metacat-common (Issue 1817)
Bump com.rabbitmq:amqp-client from 5.21.0 to 5.25.0 (Issue 2065)

About Metacat

Metacat (https://github.com/NCEAS/metacat) provides a standardized but customizable platform for preserving data and metadata in many formats. It helps scientists find, understand and effectively use data sets they manage. or that have been created by others. Hundreds of thousands of data sets are currently documented in a standardized way and stored in Metacat systems, enabling the scientific community to access a vast array of scientific data that can be easily searched, compared, merged, or adapted for other purposes due to its thorough and consistent description.

Metacat is compliant with the DataONE network, making it easy for organizations to participate in the global DataONE data federation, and integrates with ORCiD and DOI identifier systems. It also supports the customizable MetacatUI client-side application for searching and browsing data in Metacat and DataONE, creating an easily-deployed system with advanced search and discovery features pre-installed.

The open source Metacat system is maintained by NCEAS (https://nceas.ucsb.edu) and DataONE (https://dataone.org), and is used by repositories worldwide to manage data collections. We're an open community, collaborating on the shared development of this common data platform, to improve efficiency and sustainability in the open data ecosystem. We welcome all types of contributions, from feedback on features and bugs, to documentation, code, and everything in between. Please join us!

We hope that this software is useful to you. We welcome feedback and comments that will further improve the application. Please submit bugs and problems through our bug tracking system (https://github.com/NCEAS/metacat/issues) and send general feedback to devel...@dataone.org.