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

Published: 01 Jan 2024, Last Modified: 20 May 2025IEEE Softw. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
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.
Loading

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We gratefully acknowledge the support of the OpenReview Sponsors. © 2025 OpenReview