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From Research on Data-Intensive Software to Innovation in Data Spaces: A Search Service for Tabular Data

IEEE Software (2024) 41(3) 59-66
DOI: 10.1109/MS.2024.3359333
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Abstract

We combine the lean startup approach with the last research mile methodology. We outline our journey in creating InferIA to provide lessons learned when research results on tabular data search are transferred as innovative services within a data space context.

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Berenguer, A., Alcaraz, O., Tomas, D., & Mazon, J. N. (2024). From Research on Data-Intensive Software to Innovation in Data Spaces: A Search Service for Tabular Data. IEEE Software, 41(3), 59–66. https://doi.org/10.1109/MS.2024.3359333

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