Investigating Collective Curating regarding Scientific Methods and Models
Abstract
This paper aims to investigate collective curation strategies in a scientific context, that is, to analyze how people collaborate with each other to select a particular type of information and how a system can mediate this interaction. Once such strategies are identified, an exploratory study will be conducted to evaluate both the strategies and their application within a system. To do so, we will use StoreAnt, a repository that includes a classification and information about HCI evaluation methods, as a case study. This study will generate theoretical and practical results regarding the curation strategies. These results will contribute to the understanding of how the proposed collective curation strategies are adopted in a real context, generating indicators of those that work well (or not). Also, as the case study will be related to HCI evaluation methods, we will analyze the proposed criteria to classify and relevant information to be presented about HCI methods, to support people in analyzing which one is the most interesting. Finally, StoreAnt itself will be an interesting tool to the HCI community, to those learning about the methods for research or educational reasons, or professionals in search for which methods could be applied in a specific context.
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