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The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

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Identifying audiences of e-infrastructures--tools for measuring impact.

Daphne Duin¹, David King, Peter van den Besselaar

¹Department of Organization Sciences and Network Institute, VU-University Amsterdam, Amsterdam, The Netherlands.

|December 15, 2012

Summary

This study introduces a new metric to evaluate web-based research infrastructures by classifying user audiences. The proposed method accurately categorizes visitors, aiding in assessing e-infrastructure impact both academically and non-academically.

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Area of Science:

Bibliometrics and Scientometrics
Information Science
Computer Science

Background:

Research evaluation must consider diverse scholarly and non-scholarly audiences.
Research infrastructures increasingly serve varied user groups online.
Web-based platforms offer new opportunities for developing evaluation metrics.

Purpose of the Study:

To propose a feasible indicator for measuring audience scope and usage frequency of web-based e-infrastructures.
To develop a method for classifying e-infrastructure visitors into relevant user categories for evaluation.

Main Methods:

An inductive logic program was employed for visitor classification.
A Bayesian classifier was utilized in conjunction with the logic program.
The classification method was tested for accuracy and efficiency.

Main Results:

The proposed method achieved 90% accuracy in classifying e-infrastructure visitors.
Visitors were efficiently categorized into predefined user groups.
The indicator effectively measures audience scope and usage frequency.

Conclusions:

The developed classification method is effective for evaluating web-based e-infrastructure usage.
This approach allows for the assessment of e-infrastructure impact within and beyond academia.
Accurate audience classification enhances the evaluation of research infrastructure reach and utility.