Data Management Dimensions of Social Water Science: The iUTAH Experience

Flint, Courtney G.; Jones, Amber Spackman; Horsburgh, Jeffery S.

doi:10.1111/1752-1688.12568

Cited by 16 publications

(22 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Water Resources Research which ask and answer socio-environmental questions in an ethical and reproducible manner (Flint et al, 2017). Additional resources found at many institutions include legal counsels, privacy or information officers, research librarians, and research ethicists.…”

Section: 1029/2019wr025080mentioning

confidence: 99%

Balancing Open Science and Data Privacy in the Water Sciences

Zipper

Whitney

Deines

et al. 2019

Water Resources Research

View full text Add to dashboard Cite

Open science practices such as publishing data and code are transforming water science by enabling synthesis and enhancing reproducibility. However, as research increasingly bridges the physical and social science domains (e.g., socio‐hydrology), there is the potential for well‐meaning researchers to unintentionally violate the privacy and security of individuals or communities by sharing sensitive information. Here we identify the contexts in which privacy violations are most likely to occur, such as working with high‐resolution spatial data (e.g., from remote sensing), consumer data (e.g., from smart meters), and/or digital trace data (e.g., from social media). We also suggest practices for identifying and addressing privacy concerns at the individual, institutional, and disciplinary levels. We strongly advocate that the water science community continue moving toward open science and socio‐environmental research and that progress toward these goals be rooted in open and ethical data management.

show abstract

Section: 1029/2019wr025080mentioning

confidence: 99%

Balancing Open Science and Data Privacy in the Water Sciences

Zipper

Whitney

Deines

et al. 2019

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…Institutional review boards in the United States, research ethics committees in the European Union, and their equivalents in other nations and the private sector set requirements for obtaining informed consent from research subjects and stipulations for protecting data confidentiality and privacy (Resnik, 2018). Colleagues can also be an invaluable resource; by collaborating with social scientists with experience navigating these issues, hydrologists can co-develop research topics, methods, and data management plans which ask and answer socio-environmental questions in an ethical and reproducible manner (Flint et al, 2017).…”

Section: Institutional and Community Resourcesmentioning

confidence: 99%

Balancing Open Science and Data Privacy in the Water Sciences

Zipper¹,

Whitney²,

Deines³

et al. 2019

Preprint

View full text Add to dashboard Cite

Open science practices such as publishing data and code are transforming water science by enabling synthesis and enhancing reproducibility. However, as research increasingly bridges the physical and social science domains (e.g., socio-hydrology), there is the potential for well-meaning researchers to unintentionally violate the privacy and security of individuals or communities by sharing sensitive information. Here, we identify the contexts in which privacy violations are most likely to occur, such as working with high-resolution spatial data (e.g., from remote sensing), consumer data (e.g., from smart meters), and/or digital trace data (e.g., from social media). We also suggest practices for identifying and addressing privacy concerns at the individual, institutional, and disciplinary levels. We strongly advocate that the water science community continue moving toward open science and socio-environmental research and that progress toward these goals be rooted in open and ethical data management.

show abstract

“…Several faculty members are incorporating GAMUT station visits and data into their university courses, and an outreach effort at a local museum features GAMUT data in an interactive display. Social science researchers have broadened the idea of environmental monitoring into a socio‐ecological observatory as they collect social water science data (Flint et al ., ) within and adjacent to GAMUT watersheds.…”

Section: Network Implementationmentioning

confidence: 99%

Designing and Implementing a Network for Sensing Water Quality and Hydrology across Mountain to Urban Transitions

Jones

Aanderud

Horsburgh

et al. 2017

J American Water Resour Assoc

Self Cite

View full text Add to dashboard Cite

Water resources are increasingly impacted by growing human populations, land use, and climate changes, and complex interactions among biophysical processes. In an effort to better understand these factors in semiarid northern Utah, United States, we created a real-time observatory consisting of sensors deployed at aquatic and terrestrial stations to monitor water quality, water inputs, and outputs along mountain to urban gradients. The Gradients Along Mountain to Urban Transitions (GAMUT) monitoring network spans three watersheds with similar climates and streams fed by mountain winter-derived precipitation, but that differ in urbanization level, land use, and biophysical characteristics. The aquatic monitoring stations in the GAMUT network include sensors to measure chemical (dissolved oxygen, specific conductance, pH, nitrate, and dissolved organic matter), physical (stage, temperature, and turbidity), and biological components (chlorophyll-a and phycocyanin). We present the logistics of designing, implementing, and maintaining the network; quality assurance and control of numerous, large datasets; and data acquisition, dissemination, and visualization. Data from GAMUT reveal spatial differences in water quality due to urbanization and built infrastructure; capture rapid temporal changes in water quality due to anthropogenic activity; and identify changes in biological structure, each of which are demonstrated via case study datasets.

show abstract

Data Management Dimensions of Social Water Science: The iUTAH Experience

Cited by 16 publications

References 32 publications

Balancing Open Science and Data Privacy in the Water Sciences

Balancing Open Science and Data Privacy in the Water Sciences

Balancing Open Science and Data Privacy in the Water Sciences

Designing and Implementing a Network for Sensing Water Quality and Hydrology across Mountain to Urban Transitions

Contact Info

Product

Resources

About