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Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes

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Product-Focused Software Process Improvement (PROFES 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13709))

Abstract

Context: Many companies have been adopting data-driven applications in which products and services are centered around data analysis to approach new segments of the marketplace. Data ecosystems rise from data sharing among organizations premeditatedly. However, this migration to this new data sharing paradigm has not come that far in the marine domain. Nevertheless, better utilizing the ocean data might be crucial for humankind in the future, for food production, and minerals, to ensure the ocean’s health. Research goal: We investigate the state-of-the-art regarding data sharing in the marine domain with a focus on aspects that impact the speed of establishing a data ecosystem for the ocean. Methodology: We conducted an exploratory case study based on focus groups and workshops to understand the sharing of data in this context. Results: We identified main challenges of current systems that need to be addressed with respect to data sharing. Additionally, aspects related to the establishment of a data ecosystem were elicited and analyzed in terms of benefits, conflicts, and solutions.

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Notes

  1. 1.

    https://cordis.europa.eu/project/id/619551.

  2. 2.

    https://miro.com/.

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Acknowledgements

We would like to thank the participants in the study. This work was supported by SFI SmartOcean NFR Project 309612/F40.

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Authors and Affiliations

  1. Western Norway University of Applied Sciences, Bergen, Norway

    Keila Lima, Ngoc-Thanh Nguyen, Rogardt Heldal, Tosin Daniel Oyetoyan & Lars Michael Kristensen

  2. Chalmers University of Technology, Gothenburg, Sweden

    Eric Knauss

  3. University of Gothenburg, Gothenburg, Sweden

    Eric Knauss

  4. Gran Sasso Science Institute, L’Aquila, Italy

    Patrizio Pelliccione

Authors
  1. Keila Lima
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  2. Ngoc-Thanh Nguyen
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  3. Rogardt Heldal
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  4. Eric Knauss
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  5. Tosin Daniel Oyetoyan
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  6. Patrizio Pelliccione
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  7. Lars Michael Kristensen
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Corresponding author

Correspondence to Keila Lima .

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Editors and Affiliations

  1. Tampere University, Tampere, Finland

    Davide Taibi

  2. Reutlingen University, Reutlingen, Germany

    Marco Kuhrmann

  3. University of Jyväskylä, Jyväskylä, Finland

    Tommi Mikkonen

  4. Leibniz University Hannover, Hannover, Germany

    Jil Klünder

  5. University of Jyväskylä, Jyväskylä, Finland

    Pekka Abrahamsson

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Lima, K. et al. (2022). Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes. In: Taibi, D., Kuhrmann, M., Mikkonen, T., Klünder, J., Abrahamsson, P. (eds) Product-Focused Software Process Improvement. PROFES 2022. Lecture Notes in Computer Science, vol 13709. Springer, Cham. https://doi.org/10.1007/978-3-031-21388-5_9

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  • DOI: https://doi.org/10.1007/978-3-031-21388-5_9

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