Library Experts implements, operates, and evolves DSpace and OJS, while creating AI chatbots that connect libraries with students, researchers, and communities.
Open knowledge. Expert operations.Library Intelligence
We do not sell isolated infrastructure. We connect open platforms, expert operations, and intelligence applied to the experience of everyone who creates and seeks knowledge.
Digital repositories
Implementation, migration, managed cloud, monitored Solr, academic integrations, and continuous evolution.
Scholarly publishing
Editorial and technical consulting for submission, peer review, publishing, indexing, and preservation.
Conversational library
An assistant grounded in institution-approved sources, with human handoff and demand insights.
The architecture combines DigitalOcean Kubernetes, managed PostgreSQL, Cloudflare R2, and open source observability. Library Experts watches application, search, files, integrations, and usage as one service.
Application, database, and collection operate in separate layers for easier scaling, recovery, and cost control.
Search checks, database-to-index drift, schema errors, and the last successful reindex are continuously reviewed.
Audience and journeys complement the official item-view and download statistics maintained by DSpace.
Metrics, logs, and incidents are consolidated into recommendations that libraries and IT teams can act on.
Plausible provides aggregated audience, content, source, and conversion metrics. Our AI layer combines those signals with DSpace context to highlight trends, anomalies, and opportunities.
Downloads grew faster than pageviews, indicating stronger intent to use the collection.
Google Scholar drives discovery; collections with DOI metadata show better conversion.
One collection has high traffic but few downloads: review metadata and file availability.
Open Journal Systems organizes the entire scholarly publishing workflow. We handle architecture, migration, visual identity, plugins, integrations, training, and platform operations.
Volume 18 · Issue 2 · 12 articles
Authors and metadata
Peers and decisions
Editing and proofs
DOI and indexes
The assistant speaks naturally, consults approved sources, and guides each person to the next step. When a question requires judgment, it hands off the full context to the team.
Five clear stages to turn library needs into adopted, observable, and sustainable platforms.
Goals, audiences, content, workflows, integrations, and risks are mapped with libraries, editors, and IT.
We define platform, experience, capacity, security, AI governance, and interoperability standards.
We configure systems, migrate data, build integrations, and prepare teams and operations.
We test workflows, integrity, search, accessibility, load, backups, and the launch plan.
We monitor platforms, handle incidents, deliver reports, and prioritize improvements.
Standard projects take 8 to 16 weeks; large migrations, advanced observability, or custom builds can take up to 24 weeks.
Yes. We plan metadata, files, users, tests, cutover, and complete validation.
Yes. We combine technical operations, workflow configuration, training, themes, plugins, and indexing integrations.
It consults approved institutional sources and hands sensitive or ambiguous questions to a person.
Yes. We prioritize open source, open standards, portability, and architecture compatible with each client's governance.
Tell us about your repository, journals, or service. An expert will organize the scenario and propose clear next steps.