Abstract
This paper systematically reviews a set of well-established data management platforms and compares their functionality. We derived an initial criteria catalogue from existing research work and extended it based on the input gathered through several expert interviews. Finally, we applied this criteria catalogue to a set of data management platforms. The contribution of this work is (i) an up-to-date criteria catalogue to systematically assess the feature-richness of data management platforms, generalizable to related use-cases (e.g. data markets), and (ii) the systematic review of a selected set of data management platforms along these criteria. This work lays the foundation for future research in this area, being subject to periodic re-evaluation to also include developments and improvements of the platforms.
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Notes
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Acknowledgement
This work was funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 871481.
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Boch, M. et al. (2022). A Systematic Review of Data Management Platforms. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-04819-7_2
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