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Publishing Visualization Studies as Registered Reports: Expected Benefits and Researchers’ Attitudes
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Monash University, Australia.
Universit ́e Paris-Saclay, CNRS, Inria, LISN, France.
Univ. Bordeaux, CNRS, Inria, LaBR, France.ORCID iD: 0000-0002-1854-5899
Universit ́e Paris-Saclay, CNRS, Inria, LISN, France.ORCID iD: 0000-0002-2948-6417
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2021 (English)Conference paper, Oral presentation only (Other academic)
Abstract [en]

Background: Registered Reports are publications in which study proposals are peer reviewed and pre-accepted before the study is ran. Their adoption in other disciplines has been found to promote research quality and save time and resources. Objectives: We offer a brief introduction to Registered Reports and their expected benefits for visualization research. We then report a survey of the visualization community on their attitudes towards Registered Reports. This survey takes the form of a quasi Registered Report, the first one presented at a visualization venue as far as we know. Method: We will run an online survey that will be open from the end of August until the day of the alt.VIS workshop. Results: Most respondents expressed interest in Registered Reports as an additional submission format. Junior researchers as well as researchers with prior experience of preregistration tended to be more inclined to adopt this format. However, qualitative feedback highlights several perceived drawbacks and worries about Registered Reports, such as low suitability for some types of research, and increased workload for reviewers and authors. Conclusion: While many respondents expressed interest in (and sometimes enthusiasm for) Registered Reports, many also voiced concerns that should be considered and discussed in the community. Reproducibility: All the material is available on osf.io/4nrma/.

Place, publisher, year, edition, pages
2021.
Identifiers
URN: urn:nbn:se:liu:diva-187983OAI: oai:DiVA.org:liu-187983DiVA, id: diva2:1692231
Conference
alt.VIS, a workshop co-located with IEEE VIS 2021 (held virtually)
Available from: 2022-09-01 Created: 2022-09-01 Last updated: 2023-05-22

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Besançon, Lonni

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Besançon, LonniDragicevic, PierreIsenberg, PetraJansen, Yvonne
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf