Journal Article: “Research Intelligence: an Emerging Concept”

The article linked below was recently published by Quantitative Science Studies.

Title

Research Intelligence: an Emerging Concept

Authors

Rik Iping
Erasmus MC, University Medical Center, Rotterdam, The Netherlands
Centre for Science and Technology Studies (CWTS), Leiden University, The Netherlands

Tung Tung Chan
Erasmus University Rotterdam, The Netherland
Centre for Science and Technology Studies (CWTS), Leiden University, The Netherlands

Thed van Leeuwen
Erasmus MC, University Medical Center, Rotterdam, The Netherlands

Adrian Cohen
Erasmus MC, University Medical Center, Rotterdam, The Netherlands

Source

Quantitative Science Studies 1–29.

DOI: 10.1162/QSS.a.412

Abstract

With the growing availability of research information, analytical tools and services, more and more dimensions of academic work can be studied to derive novel insights. Research Intelligence (RI) focuses on the collection, analysis, enrichment and interpretation of research-related information to provide strategic insights that support decision-making at various organizational levels. It leverages tools like bibliographic databases, university research systems, and qualitative data from surveys and interviews, while incorporating information on funding, human resources, and societal knowledge transfer. In this paper we describe a brief history of Research Intelligence, it’s information sources and applications, discuss the role of the research intelligence expert and external developments, make recommendations for the responsible use of Research Intelligence and look at future prospects such as the role of AI. We argue that the study of Research Intelligence as a form of applied bibliometrics within its social constructs and contexts can be positioned as a (new) scholarly sub-discipline in the science studies domain, connecting to science, technology and society studies, to evaluation and valuation studies, and also to scientometrics, computer science and data science.

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