Reuse of Datasets

In the analytical & interpretation phase, the reuse of visual datasets requires continued legal, ethical, and methodological vigilance. At this stage, researchers actively engage with the reused materials through selection, coding, annotation, transformation, or integration with newly generated data. Such analytical practices may constitute the creation of derivative works, thereby triggering specific licensing conditions. 

Researchers must ensure that all analytical uses remain fully consistent with the licensing and access conditions identified during the conceptual phase. This includes verifying whether modifications (e.g., cropping, annotating, extracting frames, or combining visuals with other datasets) are legally permitted, and whether additional obligations – such as attribution statements, license compatibility, or restrictions on commercial dissemination – must be fulfilled. 

Moreover, when analytical outputs incorporate or reproduce elements of reused visuals, the licensing terms may influence how results can be published, archived, or shared. Ethical considerations also remain central: even when legal reuse is permitted, researchers should reflect on contextual integrity, potential re-identification risks, and the original consent conditions under which the visual data were produced. 

Beyond legal compliance, ethical reflection remains essential, particularly with regard to contextual integrity, potential re-identification risks, and the original conditions under which the visual data were produced. Maintaining this alignment ensures responsible reuse throughout the analytical lifecycle.