Title: GNSS Data Provenance Traceability Research
Author(s): Yi Qu, Haitao Wu, Ting Liu
Published in: Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017)
September 25 - 29, 2017
Oregon Convention Center
Portland, Oregon
Pages: 1409 - 1417
Cite this article: Qu, Yi, Wu, Haitao, Liu, Ting, "GNSS Data Provenance Traceability Research," Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 1409-1417.
Full Paper: ION Members/Non-Members: 1 Download Credit
Sign In
Abstract: With the rapid development of navigation satellite systems and augment systems, GNSS are more and more widely used, and GNSS data increase significantly. GNSS data, combined with data products from other disciplines, often derive more complex data types, which are applied to many kinds of complicated scenarios. During the course of GNSS data application, the eager requirement of obtaining data provenance has emerged. So this paper proposed the concept of “GNSS data provenance traceability” to meet the requirement. GNSS data provenance traceability focuses on the history of data processing and transformations throughout data lifecycle, spanning from generation, evolution to releasing and application, which may help to improve data quality, credibility, security, reliability and other respects. First, this paper analyzed some typical requirements of GNSS data provenance traceability from different parties. Next, this paper discussed the concept of “data provenance” or “data lineage” in database, e-science, geographic information system and other disciplines, and attempted to make detailed explanation for GNSS data provenance traceability. Then GNSS data features are analyzed, and concluded GNSS data provenance traceability design constraints and necessary factor. Furthermore, this paper summarized the research scope of GNSS data provenance traceability, and identified key issues. Also this paper constructed theoretical architecture for GNSS data provenance traceability, and a three-layer model was designed to achieve better performance. The significance of this paper is that it proposed the concept of “GNSS data provenance traceability”, which enriched GNSS functions. It provided design constraints and necessary factors to this emerging multidisciplinary concept, identified key problems, and designed hierarchical architecture, looking forward to provide theoretical reference for the design and implementation of GNSS data provenance traceability system in the future.