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Merits and Limits of Preregistration for Visualization Research
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7207-1276
Ctr Open Sci Inc, VA USA; Univ Virginia, VA USA.
Tilburg Univ, Netherlands.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-8971-6245
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2024 (English)In: 2024 IEEE EVALUATION AND BEYOND-METHODOLOGICAL APPROACHES FOR VISUALIZATION, BELIV 2024, IEEE COMPUTER SOC , 2024, p. 89-96Conference paper, Published paper (Refereed)
Abstract [en]

The replication crisis has spawned a revolution in scientific methods, aimed at increasing the transparency, robustness, and reliability of scientific outcomes. In particular, the practice of preregistering study designs has shown important advantages. Preregistration can help limit questionable research practices, as well as increase the success rate of study replications. Many fields have now adopted preregistration as a default expectation for published studies. In 2022, we set up a panel "Merits and Limits of User Study Preregistration" with the overall goal of explaining the concept of preregistration to a wide VIS audience and discussing its suitability for visualization research. We report on the arguments and discussion of this panel in the hope that it can benefit the visualization community at large. All materials and a copy of this paper are available on our OSF repository at https://osf.io/wes57/.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2024. p. 89-96
Keywords [en]
Preregistration; Open Science
National Category
Media and Communication Studies
Identifiers
URN: urn:nbn:se:liu:diva-212416DOI: 10.1109/BELIV64461.2024.00015ISI: 001417791100011Scopus ID: 2-s2.0-85212446599ISBN: 9798331528478 (electronic)ISBN: 9798331528461 (print)OAI: oai:DiVA.org:liu-212416DiVA, id: diva2:1945901
Conference
2024 IEEE Conference on Evaluation and Beyond - Methodological Approaches for Visualization, Saint Pete Beach, FL, oct 14, 2024
Note

Funding Agencies|Wallenberg AI, Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation; Knut and Alice Wallenberg Foundation [KAW2019.0024]; Marcus and Amalia Wallenberg Foundation [MAW 2023.0130]; Luxembourg's National Research Fund (FNR) [INTER/ANR/20/14956115]; U.S. National Science Foundation [IIS-2145382]

Available from: 2025-03-19 Created: 2025-03-19 Last updated: 2025-03-19

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Citation style
  • apa
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Output format
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