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:Fig2 Watson EnergyInfo2018 1-1.png|240px]]</div>
'''"[[Journal:Open data in scientific communication|Open data in scientific communication]]"'''
'''"[[Journal:Simulation of greenhouse energy use: An application of energy informatics|Simulation of greenhouse energy use: An application of energy informatics]]"'''


Greenhouse agriculture is a highly efficient method of food production that can greatly benefit from supplemental electric lighting. The needed electricity associated with greenhouse lighting amounts to about 30% of its operating costs. As the light level of LED lighting can be easily controlled, it offers the potential to reduce energy costs by precisely matching the amount of supplemental light provided to current weather conditions and a crop’s light needs. Three simulations of LED lighting for growing lettuce in the Southeast U.S. using historical solar radiation data for the area were conducted. Lighting costs can be potentially reduced by approximately 60%. ('''[[Journal:Simulation of greenhouse energy use: An application of energy informatics|Full article...]]''')<br />
The development of information technology makes it possible to collect and analyze a growing number of data resources. The results of research, regardless of the discipline, constitute one of the main sources of data. Currently, research results are increasingly being published in the open access model. The open access concept has been accepted and recommended worldwide by many institutions financing and implementing research. Initially, the idea of openness concerned only the results of research and scientific publications; at present, more attention is paid to the problem of sharing scientific data, including raw data. Proceedings towards open data are intricate, as data specificity requires the development of an appropriate legal, technical and organizational model, followed by the implementation of [[Information management|data management]] policies at both the institutional and national levels. ('''[[Journal:Open data in scientific communication|Full article...]]''')<br />
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''Recently featured'':
''Recently featured'':
: ▪ [[Journal:Simulation of greenhouse energy use: An application of energy informatics|Simulation of greenhouse energy use: An application of energy informatics]]
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: ▪ [[Journal:Learning health systems need to bridge the "two cultures" of clinical informatics and data science|Learning health systems need to bridge the "two cultures" of clinical informatics and data science]]
: ▪ [[Journal:The problem with dates: Applying ISO 8601 to research data management|The problem with dates: Applying ISO 8601 to research data management]]
: ▪ [[Journal:The problem with dates: Applying ISO 8601 to research data management|The problem with dates: Applying ISO 8601 to research data management]]
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Revision as of 18:17, 11 February 2019

"Open data in scientific communication"

The development of information technology makes it possible to collect and analyze a growing number of data resources. The results of research, regardless of the discipline, constitute one of the main sources of data. Currently, research results are increasingly being published in the open access model. The open access concept has been accepted and recommended worldwide by many institutions financing and implementing research. Initially, the idea of openness concerned only the results of research and scientific publications; at present, more attention is paid to the problem of sharing scientific data, including raw data. Proceedings towards open data are intricate, as data specificity requires the development of an appropriate legal, technical and organizational model, followed by the implementation of data management policies at both the institutional and national levels. (Full article...)


Recently featured:

▪ Simulation of greenhouse energy use: An application of energy informatics
▪ Learning health systems need to bridge the "two cultures" of clinical informatics and data science
▪ The problem with dates: Applying ISO 8601 to research data management
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