Evaluating scientific research: Belief, hindsight bias, ethics, and research evaluation

Author(s):  
Harry L. Hom Jr. ◽  
Abigail L. Van Nuland

To better understand all the aspects and components of scientific research activities, this book explores and discusses the research indicators applied for research evaluation and their categorization. The present chapter provides a broad overview of what this book comprises and its main assumptions.


2017 ◽  
Vol 26 (4) ◽  
pp. 358-360 ◽  
Author(s):  
Sergio Benedetto ◽  
Tindaro Cicero ◽  
Marco Malgarini ◽  
Carmen Nappi

An unbiased and reasonable research evaluation should reflect the diversity and impact of research productivity. The evaluation of scientific research is essential to determine its achievement, reputation, growth, and progress of an individual or an institution. In this context, production and quality of scholarly content offer a strong foundation for its rational evaluation. The citations along with the number of scientific publications are predominantly used to evaluate research content. The use of scientometric indicators is of great use in the measurement and evaluation of the scientific research output, but at the same instant, it requires a great carefulness in use.


2021 ◽  
Vol 5 (6) ◽  
pp. 31-35
Author(s):  
Liang Zhao

The revolution of science and technology in the new era is rising. New industries, formats, and models led by information technology are emerging. Scientific research has entered the fourth data-intensive paradigm. As an important part of the science and technology innovation system, universities also have new requirements for their scientific research management system. In this article, it is suggested that the efficiency and quality of scientific research management in universities could be enhanced by reconstructing the organizational structure of scientific research management, improve the service capabilities of scientific research managers, perfecting the scientific research evaluation system, and innovating the management model of cross-research teams.


2013 ◽  
Vol 5 (1) ◽  
pp. 141-159
Author(s):  
Panaite NICA ◽  
◽  
Silviu Mihail TITA ◽  

2015 ◽  
Vol 24 (3) ◽  
pp. 242-255 ◽  
Author(s):  
Alessio Ancaiani ◽  
Alberto F. Anfossi ◽  
Anna Barbara ◽  
Sergio Benedetto ◽  
Brigida Blasi ◽  
...  

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