Exploration of Reproducibility Issues in Scientometric Research Part 2: Conceptual Reproducibility
Theresa Velden, Sybille Hinze, Andrea Scharnhorst, Jesper Wiborg, Schneider, Ludo Waltman

TL;DR
This study explores the concept of conceptual reproducibility in scientometric research by critically reviewing selected publications to identify potential reproducibility issues and develop assessment tools for robustness of knowledge claims.
Contribution
It introduces a taxonomy of threats to conceptual reproducibility and develops instruments for evaluating the robustness of scientific claims in scientometrics.
Findings
Identified categories of study types in scientometrics
Developed a taxonomy of threats to reproducibility
Raised open questions for future assessment methods
Abstract
This is the second part of a small-scale explorative study in an effort to assess reproducibility issues specific to scientometrics research. This effort is motivated by the desire to generate empirical data to inform debates about reproducibility in scientometrics. Rather than attempt to reproduce studies, we explore how we might assess "in principle" reproducibility based on a critical review of the content of published papers. While the first part of the study (Waltman et al. 2018) focuses on direct reproducibility - that is the ability to reproduce the specific evidence produced by an original study using the same data, methods, and procedures, this second part is dedicated to conceptual reproducibility - that is the robustness of knowledge claims towards verification by an alternative approach using different data, methods and procedures. The study is exploratory: it investigates…
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Taxonomy
TopicsMeta-analysis and systematic reviews · Data Analysis with R · Scientific Computing and Data Management
