The DOI matches its Crossref record; 60 of the 63 references it cites were found in a registry or an index.
What Do We Talk About When We Talk About Dashboards?
Abstract
Dashboards are one of the most common use cases for data visualization, and their design and contexts of use are considerably different from exploratory visualization tools. In this paper, we look at the broad scope of how dashboards are used in practice through an analysis of dashboard examples and documentation about their use. We systematically review the literature surrounding dashboard use, construct a design space for dashboards, and identify major dashboard types. We characterize dashboards by their design goals, levels of interaction, and the practices around them. Our framework and literature review suggest a number of fruitful research directions to better support dashboard design, implementation, and use.
Overview
Integrity signals
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Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Conversely, presenting too little information, or information that is highly aggregated, can decrease transparency and limit critical elaboration of the data”
From Check the box! How to deal with automation bias in AI-based personnel selection (2023) · cites this paper as Sarikaya et al., 2019
Citations
Cites
Making sense of smart cities: addressing present shortcomings
Kitchin, R. (2014) · Cambridge Journal of Regions Economy and Society · doi:10.1093/cjres/rsu027 · Cited by 864
A Multi-Level Typology of Abstract Visualization Tasks
Brehmer, M., & Munzner, T. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.124 · Cited by 745
Big Data Research in Information Systems: Toward an Inclusive Research Agenda
University of Virginia, Abbasi, A., Sarker, S., University of Virginia, Aalto University, Chiang, R., & University of Cincinnati (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00423 · Cited by 688
Learning Analytics Dashboard Applications
Verbert, K., Duval, E., Klerkx, J., Govaerts, S., & Santos, J. L. (2013) · American Behavioral Scientist · doi:10.1177/0002764213479363 · Cited by 640
HR and analytics: Why HR is set to fail the big data challenge
Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016) · Human Resource Management Journal · doi:10.1111/1748-8583.12090 · Cited by 633 · cited 7×
“Data choice re-frames problem definition and thus implicitly refocuses the values of possible solutions [3, 24, 29, 31, 45].”
BackgroundInfluentialWilliamson, B. (2016) · Journal of Education Policy · doi:10.1080/02680939.2015.1035758 · Cited by 522
Learning dashboards: an overview and future research opportunities
Verbert, K., Govaerts, S., Duval, E., Santos, J. L., Assche, F. V., Parra, G., & Klerkx, J. (2013) · Personal and Ubiquitous Computing · doi:10.1007/s00779-013-0751-2 · Cited by 456
A review of dashboards in performance management: Implications for design and research
Yigitbasioglu, O. M., & Velcu, O. (2012) · International Journal of Accounting Information Systems · doi:10.1016/j.accinf.2011.08.002 · Cited by 398
Galešić, M., & García‐Retamero, R. (2010) · Medical Decision Making · doi:10.1177/0272989x10373805 · Cited by 363
The work that visualisation conventions do
Kennedy, H., Hill, R. L., Aiello, G., & Allen, W. (2016) · Information Communication & Society · doi:10.1080/1369118x.2016.1153126 · Cited by 306
Research works printed but not linked: 9
- few, 2007, Dashboard Confusion Revisited
- tucker, 0, How is your school doing? online dashboard gives parents new tool
- djerdjouri, 2016, Adapting business analytics to levelerage enterprise data assets, Leadership Innovation Entrepreneurship as Driving Forces Global Economy
- 10.1109/HealthCom.2015.7454540 · DOI
- few, 2006, Information Dashboard Design The Effective Visual Communication of Data
- few, 2017, Blog post There's nothing mere about semantics
- chorpita, 2007, The Research Network on Youth Mental Health. Driving with Roadmaps and Dashboards: Using Information Resources to Structure the Decision Models in Service Organizations, Administration and Policy in Mental Health and Mental Health Services Research, 114
- raftree, 2018, 13 tips on data dashboards for decision-making
- 10.5194/isprs-annals-IV-4-W1-19-2016 · DOI
Cited by
Sorted by citations
García‐Peñalvo, F. J. (2021) · Sustainability · doi:10.3390/su13042023 · Cited by 249
Sepasgozar, S. M. E., Karimi, R., Farahzadi, L., Moezzi, F., Shirowzhan, S., Ebrahimzadeh, S. M., Hui, F. K. P., & Aye, L. (2020) · Applied Sciences · doi:10.3390/app10093074 · Cited by 224
Bach, B., Freeman, E., Abdul‐Rahman, A., Turkay, Ç., Khan, S., Fan, Y., & Chen, M. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209448 · Cited by 240
Composition and Configuration Patterns in Multiple-View Visualizations
Chen, X., Zeng, W., Lin, Y., Al-Maneea, H. M. A., Roberts, J. C., & Chang, R. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030338 · Cited by 136
Moving towards engaged learning in STEM domains; there is no simple answer, but clearly a road ahead
de Jong, T. (2019) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12337 · Cited by 135
Metadata
- Authors
- Sarikaya, A., Correll, M., Bartram, L., Tory, M., & Fisher, D.
- Affiliations
- Tableau Software (United States) (US)
- Simon Fraser University (CA)
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2019-01
- Volume
- 25
- Issue
- 1
- Pages
- 682-692
- ISSN
- 1077-2626 (ISSN-L)
- 1941-0506
- 2160-9306
- OpenAlex
- W2888652842
- Cited by
- 380
- References
- 63
- Citations by year
- 2026: 40 · 2025: 64 · 2024: 53 · 2023: 53 · 2022: 47 · 2021: 54 · 2020: 39 · 2019: 28
- FWCI
- 15.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Visualization and Computer Graphics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Microsoft Research
- Tableau Research
- Simon Fraser University
- NSERC
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- dashboards, data visualization, dashboard design, design space, interaction level
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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