Abstract
Data Jackets are human-made metadata for each dataset, reflecting peoples’ subjective or potential interests. By visualizing the relevance among DJs, participants in the market of data think and talk about why and how they should combine the corresponding datasets. Even if the owners of data may hesitate to open their data to the public, they can present the DJs in the Innovators Marketplace on Data Jackets that is a platform for innovations. Here, participants communicate to find ideas to combine/use/reuse data or future collaborators. Furthermore, explicitly or implicitly required data can be searched by the use of tools developed on DJs, which enabled, for example, analogical inventions of data analysis methods. Thus, we realized a data-mediated birthplace of seeds in business and science. In this paper, we show a new direction to collect and use DJs to fit social requirements externalized and collected in living labs. The effect of living labs here is to enhance participants’ sensitivity to the contexts in the open society according to the author’s practices, and the use of DJs to these contexts means to develop the process of evidence-based innovation, i.e., the loop of living humans’ interaction to create dimensions of performance in businesses.
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Ohsawa invented DJ and IMDJ, and organizes this project of LLDJ. Kondo has been executing Living Lab at the University of Tokyo, which lead her to the finding that the effects of Living Lab go via the enhancement of the participants’ sensitivity to the interests in the open society. Hayashi contributed to the creation of technologies supporting IMDJ, e.g., the DJ Store and Action Planning.
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Ohsawa, Y., Kondo, S., Hayashi, T. (2021). Data Jackets as Communicable Metadata for Potential Innovators – Toward Opening to Social Contexts. In: Abraham, A., Siarry, P., Ma, K., Kaklauskas, A. (eds) Intelligent Systems Design and Applications. ISDA 2019. Advances in Intelligent Systems and Computing, vol 1181. Springer, Cham. https://doi.org/10.1007/978-3-030-49342-4_1
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