Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

PDF

Utah State University

Series

2019

Data management

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Low-Cost, Open-Source, And Low-Power: But What To Do With The Data?, Jeffery S. Horsburgh, Juan Caraballo, Maurier Ramírez, Anthony K. Aufdenkampe, David B. Arscott, Sara Geleskie Damiano Apr 2019

Low-Cost, Open-Source, And Low-Power: But What To Do With The Data?, Jeffery S. Horsburgh, Juan Caraballo, Maurier Ramírez, Anthony K. Aufdenkampe, David B. Arscott, Sara Geleskie Damiano

Civil and Environmental Engineering Faculty Publications

There are now many ongoing efforts to develop low-cost, open-source, low-power sensors and datalogging solutions for environmental monitoring applications. Many of these have advanced to the point that high quality scientific measurements can be made using relatively inexpensive and increasingly off-the-shelf components. With the development of these innovative systems, however, comes the ability to generate large volumes of high-frequency monitoring data and the challenge of how to log, transmit, store, and share the resulting data. This paper describes a new web application that was designed to enable citizen scientists to stream sensor data from a network of Arduino-based dataloggers to …


A Data Model To Manage Data For Water Resources Systems Modeling, Adel M. Abdallah, David E. Rosenberg Feb 2019

A Data Model To Manage Data For Water Resources Systems Modeling, Adel M. Abdallah, David E. Rosenberg

Civil and Environmental Engineering Faculty Publications

Current practices to identify, organize, analyze, and serve data to water resources systems models are typically model and dataset-specific. Data are stored in different formats, described with different vocabularies, and require manual, model-specific, and time-intensive manipulations to find, organize, compare, and then serve to models. This paper presents the Water Management Data Model (WaMDaM) implemented in a relational database. WaMDaM uses contextual metadata, controlled vocabularies, and supporting software tools to organize and store water management data from multiple sources and models and allow users to more easily interact with its database. Five use cases use thirteen datasets and models focused …