Difference between revisions of "Template:Article of the week"

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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Cecchetti JMIRMedInfo8 8-10.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig3 Giray Sustain21 13-13.png|240px]]</div>
'''"[[Journal:Fueling clinical and translational research in Appalachia: Informatics platform approach|Fueling clinical and translational research in Appalachia: Informatics platform approach]]"'''
'''"[[Journal:Design of a data management reference architecture for sustainable agriculture|Design of a data management reference architecture for sustainable agriculture]]"'''


The Appalachian population is distinct, not just culturally and geographically but also in its healthcare needs, facing the most health care disparities in the United States. To meet these unique demands, Appalachian medical centers need an arsenal of analytics and data science tools with the foundation of a centralized [[data warehouse]] to transform healthcare data into actionable clinical interventions. However, this is an especially challenging task given the fragmented state of medical data within Appalachia and the need for integration of other types of data such as environmental, social, and economic with medical data. This paper aims to present the structure and process of the development of an integrated platform at a midlevel Appalachian academic medical center, along with its initial uses ... ('''[[Journal:Fueling clinical and translational research in Appalachia: Informatics platform approach|Full article...]]''')<br />
Effective and efficient [[Information management|data management]] is crucial for smart farming and precision agriculture. To realize operational efficiency, full automation, and high productivity in agricultural systems, different kinds of data are collected from operational systems using different sensors, stored in different systems, and processed using advanced techniques, such as [[machine learning]] and deep learning. Due to the complexity of data management operations, a data management [[reference architecture]] is required. While there are different initiatives to design data management reference architectures, a data management reference architecture for sustainable agriculture is missing. In this study, we follow domain scoping, domain modeling, and reference architecture design stages to design the reference architecture for sustainable agriculture. Four case studies were performed to demonstrate the applicability of the reference architecture. This study shows that the proposed data management reference architecture is practical and effective for sustainable agriculture ... ('''[[Journal:Design of a data management reference architecture for sustainable agriculture|Full article...]]''')<br />
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''Recently featured'':
''Recently featured'':
{{flowlist |
{{flowlist |
* [[Journal:Fueling clinical and translational research in Appalachia: Informatics platform approach|Fueling clinical and translational research in Appalachia: Informatics platform approach]]
* [[Journal:Using knowledge graph structures for semantic interoperability in electronic health records data exchanges|Using knowledge graph structures for semantic interoperability in electronic health records data exchanges]]
* [[Journal:Using knowledge graph structures for semantic interoperability in electronic health records data exchanges|Using knowledge graph structures for semantic interoperability in electronic health records data exchanges]]
* [[Journal:Development of a smart laboratory information management system: A case study of NM-AIST Arusha of Tanzania|Development of a smart laboratory information management system: A case study of NM-AIST Arusha of Tanzania]]
* [[Journal:Development of a smart laboratory information management system: A case study of NM-AIST Arusha of Tanzania|Development of a smart laboratory information management system: A case study of NM-AIST Arusha of Tanzania]]
* [[Journal:Health informatics: Engaging modern healthcare units: A brief overview|Health informatics: Engaging modern healthcare units: A brief overview]]
}}
}}

Revision as of 15:55, 3 January 2023

Fig3 Giray Sustain21 13-13.png

"Design of a data management reference architecture for sustainable agriculture"

Effective and efficient data management is crucial for smart farming and precision agriculture. To realize operational efficiency, full automation, and high productivity in agricultural systems, different kinds of data are collected from operational systems using different sensors, stored in different systems, and processed using advanced techniques, such as machine learning and deep learning. Due to the complexity of data management operations, a data management reference architecture is required. While there are different initiatives to design data management reference architectures, a data management reference architecture for sustainable agriculture is missing. In this study, we follow domain scoping, domain modeling, and reference architecture design stages to design the reference architecture for sustainable agriculture. Four case studies were performed to demonstrate the applicability of the reference architecture. This study shows that the proposed data management reference architecture is practical and effective for sustainable agriculture ... (Full article...)

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