Synthesized data quality requirements and roadmap for improving reusability of in-situ marine data
Background: In-situ marine data has a low reusability rate, primarily due to differences in data usage objectives among stakeholders in data ecosystems. The extreme cost of collecting and maintaining in-situ marine data threatens the sustainable usage of the ocean. 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.
Presentation (RE'23_presentation.pptx) | 4.5MiB |
Camera-ready version of the paper (RE23_camera_ready.pdf) | 325KiB |
Fri 8 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
10:45 - 12:15 | DataResearch Papers / Industrial Innovation Papers at f128 Chair(s): Sylwia Kopczyńska Poznan University of Technology | ||
10:45 30mPaper | A Data-Driven Approach for Finding Requirements Relevant Feedback from TikTok and YouTube Research Papers A: Manish Sihag University of Victoria, A: Ze Shi Li University of Victoria, A: Amanda Dash University of Victoria, A: Nowshin Nawar Arony University of Victoria, A: Kezia Devathasan University of Victoria, A: Neil Ernst University of Victoria, A: Alexandra Albu University of Victoria, A: Daniela Damian University of Victoria | ||
11:15 30mPaper | Synthesized data quality requirements and roadmap for improving reusability of in-situ marine data Research Papers A: Ngoc-Thanh Nguyen Western Norway University of Applied Sciences, A: Keila Lima Western Norway University of Applied Sciences, A: Astrid Marie Skalvik University of Bergen, Norway, A: Rogardt Heldal Western Norway University of Applied Science, A: Eric Knauss Chalmers | University of Gothenburg, A: Tosin Daniel Oyetoyan Western Norway University of Applied Sciences, A: Patrizio Pelliccione Gran Sasso Science Institute, L'Aquila, Italy, A: Camilla Sætre University of Bergen File Attached | ||
11:45 30mPaper | Shaping a GAIA-X Data Ecosystem through Innovation Modeling Industrial Innovation Papers A: Ali Shakeri German Aerospace Center (DLR), A: Oliver Klemp German Aerospace Center (DLR), A: Bernd Westphal German Aerospace Center (DLR) File Attached |