Reflections on Traceability for Visualization Research
Jen Rogers, Derya Akbaba, James Scott-Brown, Alexander Lex, Miriah Meyer

TL;DR
This paper explores how traceability can enhance transparency in design-oriented visualization research by documenting artifacts and processes, supported by a custom tool called tRRRacer.
Contribution
It introduces a theoretical framework for traceability in visualization research and presents a tool to operationalize its three core tenets.
Findings
The tRRRacer tool supports recording, reporting, and reading research artifacts.
Traceability enhances transparency in subjective, iterative design research.
Reflections suggest traceability can improve rigor without traditional reproducibility.
Abstract
Decades of advocacy for reproducibility and replication have advanced open, transparent practices in the sciences. However, traditional notions of reproducibility fit poorly with design-oriented visualization research, where insights emerge through subjective, situated, and iterative work. So how can we ensure rigor and transparency in processes that are inherently unreproducible? To introduce transparency in design-oriented research, we propose to focus on traceability: surfacing the origin and development of research contributions based on rich sets of artifacts documenting the design process. We investigated traceability through a collaborative autoethnographic reflection that builds on several years of work exploring ways to make design-oriented research transparent. This exploration includes an experiment to build a tool to support traceability, which we called tRRRacer. The…
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