Name
Abstract | ||
|---|---|---|
In this paper, we present a novel and accessible approach to time-series data validation: the Near-Real Time Autonomous Quality Control (NRAQC) system. The design, implementation, and impacts of this software are explored in detail within this paper. This software system, created in close conference with environmental scientists, leverages microservice design patterns employed for high volume web applications to develop a contemporary solution to the problem of data quality control with streaming sensor data. Through a comparative analysis between NRAQC and the GCE Toolbox, we argue that the web based deployment of QC software enhances accessibility to crucial tools required to make a robust and useful data product from raw measurements. Additionally, a key innovation of the NRAQC platform is its positive impact on modern data management practices and quality data dissemination. (C) 2018 The Authors. Published by Elsevier Ltd. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.procs.2018.08.139 | Procedia Computer Science |
Keywords | Field | DocType |
Software Engineering,Data Management,Microservices,Quality Control,Web-based Systems,Information Quality | Data mining,Data validation,Software deployment,Data quality,Software engineering,Computer science,Software design pattern,Software system,Software,Web application,Data management | Conference |
Volume | ISSN | Citations |
126 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Connor Scully-Allison | 1 | 0 | 1.35 |
| Vinh D. Le | 2 | 9 | 1.03 |
| Eric Fritzinger | 3 | 12 | 1.81 |
| Scotty Strachan | 4 | 8 | 1.78 |
| Frederick C. Harris Jr. | 5 | 547 | 78.86 |
| Sergiu M. Dascalu | 6 | 7 | 2.46 |