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Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

Published on: May 3, 2011

From concept to measurement: operationalizing and normalizing Integrity Risk Indicators by SCImago (IRIS).

Rodrigo Sánchez-Jiménez¹, Vicente P Guerrero-Bote², Gali Halevi³

¹Instituto Universitario de Estadística y Ciencia de Datos, Universidad Complutense de Madrid, Madrid, Spain.

Research Integrity and Peer Review

|June 23, 2026

Summary

This summary is machine-generated.

The Integrity Risk Indicators by SCImago (IRIS) framework shifts research assessment to identify institutional risks. IRIS uses bibliometric data to detect vulnerabilities, promoting trustworthy research environments.

Keywords:

Bibliometrics Higher education institutions Institutional governance Questionable research practices Research assessment Research integrity Risk indicators Scientometrics Z-score normalization

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Last Updated: Jun 24, 2026

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

Published on: May 3, 2011

Area of Science:

Bibliometrics
Research Integrity
Higher Education

Background:

Growing concerns regarding trust in scientific research.
Limitations of traditional output and citation-based assessment measures.
Need for evaluating institutional factors influencing research integrity.

Purpose of the Study:

Introduce the Integrity Risk Indicators by SCImago (IRIS) framework.
Shift research assessment towards identifying institutional exposure to research integrity risks.
Provide a data-informed model for detecting structural vulnerabilities.

Main Methods:

Utilizing bibliometric and publication data to derive indicators.
Focusing on institutional incentive systems, governance, and culture.
Applying z-score normalization for cross-institutional comparison.

Main Results:

IRIS identifies structural vulnerabilities in authorship, dissemination, publication venues, and transparency.
Standardized scores enhance sensitivity for risk detection.
The framework enables comparison of institutions on a common scale.

Conclusions:

IRIS offers a constructive model for assessing research integrity risks at the institutional level.
The framework supports institutions in strengthening responsible research environments.
IRIS functions as a risk detection system, not a competitive ranking.