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Abstract
The open data movement advocates that public data should be available in electronic format and accessible via the Internet. As a consequence, large volumes of data have been made available in open data portals. To tackle the complexity and possible social impacts resulting from the overwhelming production, collection, processing of data, the Human-Data Interaction providing mechanisms for citizens to interact with data. In this paper, we explore the flow of open data manipulation, aiming to find problems in the application of the whole flow, in practice, by the citizens. We used the Semiotic Inspection Method to find communication breakdowns in the data collection and data visualization interfaces. The results pointed to some communicability problems such as non-intuitive interfaces, lack of tutorials, excessive difficulties in accessing platforms, inconsistent data, and limited resources. These problems make it difficult for citizens across the flow of open data manipulation.
Recommended Citation
Vasconcelos, Leonardo Pio; Barcellos, Raissa; Viterbo, Jose; Bernardini, Flávia; Salgado, Luciana Cardoso de Castro; and Trevisan, Daniela, "Investigating Communicability Issues in the Open Data Manipulation Flow" (2020). AMCIS 2020 Proceedings. 18.
https://aisel.aisnet.org/amcis2020/sig_hci/sig_hci/18
Investigating Communicability Issues in the Open Data Manipulation Flow
The open data movement advocates that public data should be available in electronic format and accessible via the Internet. As a consequence, large volumes of data have been made available in open data portals. To tackle the complexity and possible social impacts resulting from the overwhelming production, collection, processing of data, the Human-Data Interaction providing mechanisms for citizens to interact with data. In this paper, we explore the flow of open data manipulation, aiming to find problems in the application of the whole flow, in practice, by the citizens. We used the Semiotic Inspection Method to find communication breakdowns in the data collection and data visualization interfaces. The results pointed to some communicability problems such as non-intuitive interfaces, lack of tutorials, excessive difficulties in accessing platforms, inconsistent data, and limited resources. These problems make it difficult for citizens across the flow of open data manipulation.
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