Company logoSADA Intelligent Solutions
Affiliation Matching overview
Affiliation Matching

Ensuring accuracy in academic affiliations

Our Affiliation Matching system uses sophisticated data analysis to align academic references with accuracy and precision.

By consolidating varying names and spellings of affiliations into a singular, recognized entity, we champion the reliability of academic work across publications.

To Demo

Origin of the problem


Variations in global naming hinder clear academic identification.

Conventions examples

  • University of California, Berkeley
  • UC Berkeley
  • U.C. Berkeley


Name abbreviations can cause record mismatches.

Abbreviations examples

  • MIT
  • Mass. Institute of Technology


Spelling errors disrupt accurate data analysis.

Misspellings examples

  • Massachusetts Institute of Technology
  • Massachusets Institute of Technology

Our Solution

Preprocessing raw data



Process Raw Data

The initial stage involves meticulously preparing and normalizing raw data to establish a solid foundation for reliable matching. This includes cleansing data, standardizing formats, and resolving inconsistencies to ensure high-quality inputs for the matching process.

Matching to PID



Matching to PID

In this pivotal phase, our algorithm engage in the identification and alignment of affiliation data with persistent identifiers (PIDs). This crucial step ensures each academic entity is accurately recognized and recorded, eliminating ambiguity and enhancing the integrity of affiliation data.

Deliver Results



Deliver Results

Delivering precise affiliation matching results with actionable insights.

Why choose us?

  • Powerful Visualization

    Our platform offers comprehensive visualization tools, turning complex data into clear, actionable insights, enabling better understanding and decision-making.

  • Fully Customizable

    Tailor the Affiliation Matching process to your specific needs with our customizable options, ensuring flexibility and control over your data management.

  • Live & Offline Implementation

    Our Affiliation Matching Solution can be implemented into a live dataflow for new affiliations coming into your database. Also, it can be be ran offline on historical affiliation data that needs to be assigned to PID.

  • Evaluation Tool

    The Affiliation Matching solution comes with an Evaluation Tool, that let's the user evaluate the results in a user-friendly way, and allow the user to detect any possible false positive easily.

Demo our Affiliation Matching solution

  • University of California, Berkeley
  • UC Berkeley
  • U.C. Berkeley

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Visuals & Results

Institutions Dashboard

A user friendly dashboard where ROR and OpenAlex PIDs can be seen in a nice visually way.

General Dashboard

Experiment Results

To demonstrate the efficiency of our matching solution, an experiment was done with a benchmark dataset.

Experiment Results Dashboard

Benchmark Dataset

In our experiment we have used a benchmark data set from the University of Leipzig.

Benchmark Dataset