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 DemoVariations in global naming hinder clear academic identification.
Name abbreviations can cause record mismatches.
Spelling errors disrupt accurate data analysis.
STEP
1
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.
STEP
2
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.
STEP
3
Delivering precise affiliation matching results with actionable insights.
Our platform offers comprehensive visualization tools, turning complex data into clear, actionable insights, enabling better understanding and decision-making.
Tailor the Affiliation Matching process to your specific needs with our customizable options, ensuring flexibility and control over your data management.
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.
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.
A user friendly dashboard where ROR and OpenAlex PIDs can be seen in a nice visually way.
General DashboardTo demonstrate the efficiency of our matching solution, an experiment was done with a benchmark dataset.
Experiment Results DashboardIn our experiment we have used a benchmark data set from the University of Leipzig.
Benchmark Dataset