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Project · university intelligence

UV analytics platform

An institutional platform for exploring scientific output, impact, collaboration, people, topics, and funding.

Analytics APIInstitutional indicatorsScientific profilesCo-authorship networks
Scientific output indicators in the UV analytics platform
Output and impact
People and collaboration indicators in the UV analytics platform
People and collaboration
Who it is for

University research, institutional analysis, and research management teams.

Current status

Institutional API and exploration platform implemented.

Net-Works' role

Backend development, source integration, analytical model, dashboards, and exploration experience.

Project outcome

Scientific output, impact, and collaboration available through indicators, filters, profiles, and networks.

How it is built

Sources, architecture, and tools

Information sources

Institutional CRIS data through OAI-PMH, OpenAlex, Crossref, SciELO, SCImago, and connectors for Elsevier/Scopus and Clarivate/Web of Science.

Architecture

A Nuxt 4 and Vue 3 frontend separated from a Flask REST API. Ingestion runs in independent processes so it does not block site queries.

Data and search

PostgreSQL with SQLAlchemy and materialized views consolidates entities and indicators. The database itself maintains a durable ingestion job queue.

Analysis and visualization

NetworkX and SciPy handle relationships and calculations; ECharts and Unovis power dashboards, series, profiles, and navigable networks.

The problem

What the project needed

Scientific information came from sources with different structures. We brought it together in an analytics API and developed dashboards and profiles for exploring it in its institutional context.

Our work

What we developed

  • An API for integrating, normalizing, and querying scientific sources.
  • Dashboards for output, impact, collaboration, research fields, and funding.
  • Profiles and tables for articles, authors, institutions, projects, journals, topics, and funders.
  • Filters by period, faculty, center, and gender, along with co-authorship networks and exports.

How the components connect

How UV analytics platform is organized

This diagram summarizes each component's role and how they connect.

  1. 01Scientific sources

    Records, metadata, and external services

  2. 02API and normalization

    Ingestion, integration rules, and consolidated entities

  3. 03Analytical model

    Output, impact, collaboration, and quality indicators

  4. 04UV experience

    Dashboards, profiles, filters, networks, and exports

The platform in use

Some of the project's components

Views of the applications that make up the project.

Scientific output analytics overview for Universidad de Valparaíso
Frontend run locally with the project's public API: yearly trends, moving average, and normalized impact.
Research people and teams dashboard for Universidad de Valparaíso
Frontend run locally with the project's public API: team size, authors, and collaboration.

Let's talk

Tell us what you need and where your information lives.

We can help you organize it, connect it, or turn it into a useful tool.

Talk to the team