Synthesized data quality requirements and roadmap for improving reusability of in-situ marine data
Paper i proceeding, 2023
Aims: This paper provides an overview of current data and data quality (DQ) requirements. We also investigate limitations in the current practices that obstruct data reusability. The ultimate objective is to improve data requirements elicitation, leading to enhanced data reusability.
Method: We interviewed 14 marine practitioners and researchers from 7 organizations with extensive experience in collecting, managing, and utilizing in-situ marine data.
Results: We identify 9 representative use cases in the fishery, energy, and marine sciences industries, as well as their data and DQ requirements. The results give guidance to data producers to produce data meeting demands of a wider range of data consumers. At the same time, data consumers can refer to the compilation to identify existing data suiting their needs. Furthermore, we recommend a roadmap taken into account during requirements elicitation to improve 6 limitations in the current practices that obstruct data reusability.
Författare
Thanh Ngoc Nguyen
Høgskulen på Vestlandet (HVL)
Keila Lima
Høgskulen på Vestlandet (HVL)
Astrid Marie Skalvik
Universitetet i Bergen
Rogardt Heldal
Chalmers, Data- och informationsteknik, Software Engineering
Göteborgs universitet
Eric Knauss
Göteborgs universitet
Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering
Tosin Daniel Oyetoyan
Høgskulen på Vestlandet (HVL)
Patrizio Pelliccione
Göteborgs universitet
Software Engineering 1
Camilla Saetre
Universitetet i Bergen
Proceedings of the IEEE International Conference on Requirements Engineering
1090705X (ISSN) 23326441 (eISSN)
Vol. 2023 IEEE 31st International Requirements Engineering Conference (RE)979-8-3503-2689-5 (ISBN)
Hannover, Germany,
Ämneskategorier (SSIF 2025)
Datavetenskap (datalogi)