Published January 16, 2025 | Version First Edicion, January 2025
Report Open

Principles of Evaluative Bibliometrics in a DORA/CoARA Context

  • 1. ROR icon Universidad de Granada
  • 2. ROR icon Universitat Politècnica de València

Description

The document, "Principles of Evaluative Bibliometrics in a DORA/CoARA Context," provides a comprehensive examination of evaluative bibliometrics, exploring its role within research evaluation. It begins with an overview of bibliometrics, its evolution from the early 20th century, and the theoretical and practical frameworks that have shaped its development. Notably, the work emphasizes the integration of bibliometrics with emerging trends in science evaluation, offering solutions for adapting these methodologies to contemporary evaluative systems.

The text outlines five key principles that guide evaluative bibliometrics: (1) the Principle of Support for Decision-Making, (2) the Principle of Collaboration with Experts, (3) the Principle of Respect for Contexts, (4) the Principle of Metric Multidimensionality, and (5) the Principle of Data Verifiability and Openness. Each principle is framed as a flexible and evolving concept that can be adapted to various evaluative contexts. Furthermore, the work underscores the importance of combining quantitative methods with qualitative expertise, advocating for a more inclusive and collaborative approach to scientific evaluation.

1. PREFACE    
2. INTRODUCTION    
Definition and origins    
The legacy of CWTS    
Professional perspectives    
Bibliometric indicators    
Approach to the principles    
3. FUNDAMENTAL PRINCIPLES    
Principle 1. Principle of support for decision-making    
Principle 2: Principle of collaboration with experts    
Principle 3: Principle of respect for contexts    
Principle 4: Principle of metric multidimensionality    
Principle 5: Principle of verifiability and openness of data

4. EPILOGUE    
5. BIBLIOGRAPHY    

Files

Principles of Evaluative Bibliometrics.pdf

Files (2.1 MB)

Name Size Download all
md5:ff2858af7bc3cd865ab63aa932cf0413
2.1 MB Preview Download