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Engineering Commons

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

Utah State University

2019

Water resources

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Assessing Data Availability And Research Reproducibility In Hydrology And Water Resources, James H. Stagge, David E. Rosenberg, Adel M. Abdallah, Hadia Akbar, Nour A. Atallah, Ryan James Feb 2019

Assessing Data Availability And Research Reproducibility In Hydrology And Water Resources, James H. Stagge, David E. Rosenberg, Adel M. Abdallah, Hadia Akbar, Nour A. Atallah, Ryan James

Civil and Environmental Engineering Faculty Publications

There is broad interest to improve the reproducibility of published research. We developed a survey tool to assess the availability of digital research artifacts published alongside peer-reviewed journal articles (e.g. data, models, code, directions for use) and reproducibility of article results. We used the tool to assess 360 of the 1,989 articles published by six hydrology and water resources journals in 2017. Like studies from other fields, we reproduced results for only a small fraction of articles (1.6% of tested articles) using their available artifacts. We estimated, with 95% confidence, that results might be reproduced for only 0.6% to 6.8% …


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 …