Wallace and Deazley (2016)
Contents
Source Details
Wallace and Deazley (2016) | |
Title: | Display At Your Own Risk |
Author(s): | Wallace, A., Deazley, R. |
Year: | 2016 |
Citation: | Wallace, A. and Deazley, R. (2016) Display At Your Own Risk <https://displayatyourownrisk.org> (accessed 6 January 2021) |
Link(s): | Open Access |
Key Related Studies: | |
Discipline: | |
Linked by: |
About the Data | |
Data Description: | Data for the study consists of 100 digital surrogate images, including metadata, obtained from 52 cultural institutions. Metadata were cross-checked against institutional terms and conditions and copyright status of the digital surrogate to determine risk levels of reuse. |
Data Type: | Primary and Secondary data |
Secondary Data Sources: | |
Data Collection Methods: | |
Data Analysis Methods: | |
Industry(ies): | |
Country(ies): | |
Cross Country Study?: | Yes |
Comparative Study?: | No |
Literature review?: | No |
Government or policy study?: | No |
Time Period(s) of Collection: |
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Funder(s): |
Abstract
“Display At Your Own Risk (DAYOR) is a research-led exhibition experiment featuring digital surrogates of public domain works of art produced by cultural heritage institutions of international repute. The project includes a Gallery Exhibition as well as an open source version of that exhibition intended for public use.”
Main Results of the Study
• Cultural institutions’ online policies are consistently ‘hidden’ from the user, are inconsistently labelled and difficult to access.
• Only 35 of the digital surrogate images contain information regarding what restrictions apply (or do not apply) to their use; 37 contained no data at all. Further, this metadata is often in conflict with the online policies for the cultural institution.
• The study identifies 4 levels of risk when reusing digital surrogate images: open/no risk, low risk, medium risk and high risk. Risk levels are associated with clear and broad policies permitting e.g. commercial use, and copyright status.
Policy Implications as Stated By Author
The study does not make any explicit policy recommendations.
Coverage of Study
Datasets
Sample size: | 100 |
Level of aggregation: | Images |
Period of material under study: | 2014-2016 |