A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Recommendations for Advancing FAIR and Open Data Standards in the Water Treatment Community
https://orcid.org/0000-0002-4932-890X
Water treatment researchers will maximize insights from data by implementing FAIR and Open (FAIR/O) principles for data storage and management. Progress toward domain-specific FAIR/O data infrastructure and practices advance data synthesizability, data extensibility, and stakeholder diversity. Embracing FAIR/O data principles in domain research would enable data-driven research breakthroughs that benefit a diverse array of water treatment research stakeholders. These breakthroughs arise from increased data density to improve research scope, better cross-mode data translation between experimental and modeling research outputs, and improved multiscale data integration to answer key questions across research scales. This paper addresses the gap between the current state of data sharing and the envisioned potential of FAIR/O data by offering practical steps toward building effective and sustainable water treatment data infrastructure, engaging key stakeholders, and motivating their participation. We clarify essential activities of a water treatment research data repository and suggest opportunities for communicating and growing its value.
Recommendations for Advancing FAIR and Open Data Standards in the Water Treatment Community
https://orcid.org/0000-0002-4932-890X
Water treatment researchers will maximize insights from data by implementing FAIR and Open (FAIR/O) principles for data storage and management. Progress toward domain-specific FAIR/O data infrastructure and practices advance data synthesizability, data extensibility, and stakeholder diversity. Embracing FAIR/O data principles in domain research would enable data-driven research breakthroughs that benefit a diverse array of water treatment research stakeholders. These breakthroughs arise from increased data density to improve research scope, better cross-mode data translation between experimental and modeling research outputs, and improved multiscale data integration to answer key questions across research scales. This paper addresses the gap between the current state of data sharing and the envisioned potential of FAIR/O data by offering practical steps toward building effective and sustainable water treatment data infrastructure, engaging key stakeholders, and motivating their participation. We clarify essential activities of a water treatment research data repository and suggest opportunities for communicating and growing its value.
Recommendations for Advancing FAIR and Open Data Standards in the Water Treatment Community
https://orcid.org/0000-0002-4932-890X
Water treatment researchers will maximize insights from data by implementing FAIR and Open (FAIR/O) principles for data storage and management. Progress toward domain-specific FAIR/O data infrastructure and practices advance data synthesizability, data extensibility, and stakeholder diversity. Embracing FAIR/O data principles in domain research would enable data-driven research breakthroughs that benefit a diverse array of water treatment research stakeholders. These breakthroughs arise from increased data density to improve research scope, better cross-mode data translation between experimental and modeling research outputs, and improved multiscale data integration to answer key questions across research scales. This paper addresses the gap between the current state of data sharing and the envisioned potential of FAIR/O data by offering practical steps toward building effective and sustainable water treatment data infrastructure, engaging key stakeholders, and motivating their participation. We clarify essential activities of a water treatment research data repository and suggest opportunities for communicating and growing its value.
Recommendations for Advancing FAIR and Open Data Standards in the Water Treatment Community
Quay, Amanda N. (author) / Fiske, Peter S. (author) / Mauter, Meagan S. (author)
ACS ES&T Engineering ; 2 ; 337-346
2022-03-11
Article (Journal)
Electronic Resource
English
Federal Fair Labor Standards Act and Water Companies
Wiley | 1944
| British Library Conference Proceedings | 1996
| British Library Conference Proceedings | 1996
| British Library Conference Proceedings | 1996