Reflections on Traceability for Visualization Research

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 tRRRacer tool provided a testbed for us to operationalize the three tenets of a traceable process: (1) Record abundant, annotated artifacts representative of research activities; (2) Report curated research threads that articulate rationale and evolution of the process, allowing others to (3) Read via interfaces that help retrace claims and assess plausibility. Reflecting on our experiences, we contribute a theorization of traceability and reflections on how we might support it.

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Publication Details

Journal
Computer Graphics Forum
Published
2026-06-17
DOI
https://doi.org/10.1111/cgf.70445
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Reflections on Traceability for Visualization Research

Miriah Meyer, Derya Akbaba, Jen Rogers, James Scott-Brown et al.
Computer Graphics Forum
Data Visualization and Analytics
article

Reflections on Traceability for Visualization Research

Miriah Meyer, Derya Akbaba, Jen Rogers, James Scott-Brown, Alexander Lex
article en

Abstract

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 tRRRacer tool provided a testbed for us to operationalize the three tenets of a traceable process: (1) Record abundant, annotated artifacts representative of research activities; (2) Report curated research threads that articulate rationale and evolution of the process, allowing others to (3) Read via interfaces that help retrace claims and assess plausibility. Reflecting on our experiences, we contribute a theorization of traceability and reflections on how we might support it.

Computer Graphics Forum
Linköping University (SE), University of Utah (US), Graz University of Technology (AT), KTH Royal Institute of Technology (SE), University of Edinburgh (GB)
Gender equality
Openalex Percentile: Top 46%
Data Visualization and Analytics
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