Exploration of reproducibility issues in scientometric research Part 1: Direct reproducibility
Ludo Waltman, Sybille Hinze, Andrea Scharnhorst, Jesper Wiborg, Schneider, Theresa Velden

TL;DR
This paper explores the challenges of direct reproducibility in scientometric research by critically reviewing five diverse studies to develop assessment tools and identify potential reproducibility issues, aiming to inform future reproducibility practices.
Contribution
It introduces a categorization of study types and a taxonomy of threats to direct reproducibility in scientometrics, based on an exploratory review of selected publications.
Findings
Developed a classification of study types in scientometrics
Created a taxonomy of threats to reproducibility
Highlighted open questions for future assessment methods
Abstract
This is the first part of a small-scale explorative study in an effort to start assessing 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. The first part of the study 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. The second part (Velden et al. 2018) 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
Topicsscientometrics and bibliometrics research · Data Analysis with R · Big Data and Business Intelligence
