Criteria for Rigor in Visualization Design Study
                        
                        
                            - Submitting institution
 
                            - 
                                City, University of London
                                
 
                            
 
                            - Unit of assessment
 
                            - 11 - Computer Science and Informatics
 
                            - Output identifier
 
                            - 825
 
                            - Type
 
                            - D - Journal article
 
                                - DOI
 
                                - 
                                        10.1109/TVCG.2019.2934539
                                
 
                                - Title of journal
 
                                - IEEE Transactions on Visualization and Computer Graphics
 
                                - Article number
 
                                - -
 
                                - First page
 
                                - 87
 
                                - Volume
 
                                - 26
 
                                - Issue
 
                                - 1
 
                                - ISSN
 
                                - 1077-2626
 
                                - Open access status
 
                                - Compliant
 
                            - Month of publication
 
                            - August
 
                            - Year of publication
 
                            - 2019
 
                            - URL
 
                            - 
-                            
 
                            - Supplementary information
 
                            - 
-                            
 
                            - Request cross-referral to
 
                            - -
 
                            - Output has been delayed by COVID-19
 
                            - No
 
                            - COVID-19 affected output statement
 
                            - -
 
                            - Forensic science
 
                            - No
 
                            - Criminology
 
                            - No
 
                            - Interdisciplinary
 
                            - No
 
                            - Number of additional authors
 
                            - 
                                1
                            
 
                            - Research group(s)
 
                            - 
-                            
 
                                - Citation count
 
                                - 2
 
                            - Proposed double-weighted
 
                            - No
 
                            - Reserve for an output with double weighting
 
                            - No
 
                            - Additional information
 
                            - First set of criteria for applying interpretative epistemologies to visualization research, building on Meyer’s (SCI Utah) high-profile Design Study Methodology (Sedlmair et al, 2012). Work selected for prestigious 'Provocations' opening session at IEEE Information Visualization (A* CORE; flagship conference and leading venue in discipline area), Vancouver, 2019, 24% acceptance. Tested in IEEE VIS-2020 paper (Rogers et al, 2020); presented at invited seminars including JPL NASA, Pasadena, CA, @meyer; and used in NSF MultiNet phylogenetic analysis project NSF OAC 1835904, to call for transparency in CHI-2020 panel (Talkad Sukumar, 2020), and as basis for CHI-2020 Best Paper (Syeda et al, 2020).
 
                            - Author contribution statement
 
                            - -
 
                            - Non-English
 
                            - No
 
                            - English abstract
 
                            - -