Data

Visitor responses to ethical questions about science and technology collected during the 2023 MOD. Exhibit FLEX

University of South Australia
Dr Kristin Alford (Enriched by) Dr Lisa Bailey (Enriched by) Miss Kiah Buckskin-James (Enriched by) Ms Claudia von der Borch (Enriched by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://researchoutputs.unisa.edu.au/11541.1/a7ab7261-3f56-443c-ae72-edea42341409&rft.title=Visitor responses to ethical questions about science and technology collected during the 2023 MOD. Exhibit FLEX&rft.identifier=http://research.unisa.edu.au/dataset/816575&rft.publisher=University of South Australia&rft.description=This collection contains data responses from visitors to the exhibit Canopy at MOD. in 2023. Visitors were asked a series of questions about ethics across a range of science and technology topics. Data is provided as a CSV file compiling several thousand responses.&rft.creator=Anonymous&rft.date=2025&rft.coverage=138.32629323006,-35.207401430818 138.32629323006,-34.504216488965 139.01843190194,-34.504216488965 139.01843190194,-35.207401430818 138.32629323006,-35.207401430818&rft.coverage=129,-38.5 129,-26 141,-26 141,-38.5&rft_rights=Open Access&rft_rights= https://creativecommons.org/licenses/by-nc/4.0&rft_subject=500100&rft_subject=Ethics&rft_subject=Visitor studies&rft_subject=Science communication&rft_subject=Public attitudes&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Non-Commercial Licence view details

Access:

Open

Contact Information

Lisa.Bailey@unisa.edu.au

Brief description

This collection contains data responses from visitors to the exhibit Canopy at MOD. in 2023. Visitors were asked a series of questions about ethics across a range of science and technology topics. Data is provided as a CSV file compiling several thousand responses.
Reuse Information

The following software (and version) was used to generate or capture the data:
local : DSET_SW_DATA_CAPTURE
Bespoke software installed on an interactive kiosk as part of the exhibit during the 2023 exhibition

Data time period: 17 01 2023 to 24 11 2023

This dataset is part of a larger collection

Click to explore relationships graph

138.32629,-35.2074 138.32629,-34.50422 139.01843,-34.50422 139.01843,-35.2074 138.32629,-35.2074

138.672362566,-34.855808959892

129,-38.5 129,-26 141,-26 141,-38.5

135,-32.25

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