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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Huang ICTExpress2017 3-2.jpg|240px]]</div>
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'''"[[Journal:Energy informatics: Fundamentals and standardization|Energy informatics: Fundamentals and standardization]]"'''
'''"[[Journal:Ten simple rules for managing laboratory information|Ten simple rules for managing laboratory information]]"'''


Based on international standardization and power utility practices, this paper presents a preliminary and systematic study on the field of energy [[informatics]] and analyzes boundary expansion of information and energy systems, and the convergence of energy systems and ICT. A comprehensive introduction of the fundamentals and standardization of energy informatics is provided, and several key open issues are identified.
[[Information]] is the cornerstone of [[research]], from experimental data/[[metadata]] and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging [[laboratory information management system]]s (LIMS) to transform this large information load into useful scientific findings. The development of [[mathematical model]]s that can predict the properties of biological systems is the holy grail of [[computational biology]]. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... ('''[[Journal:Ten simple rules for managing laboratory information|Full article...]]''')<br />


With the changing of global climate and a world energy shortage, a smooth transition from conventional fossil fuel-based energy supplies to renewable energy sources is critical for the sustainable development of human society. Meanwhile, the energy domain is experiencing a paradigmatic change by integrating conventional energy systems with advanced [[information]] and communication technologies (ICT), which poses new challenges to the efficient operation and design of energy systems. ('''[[Journal:Energy informatics: Fundamentals and standardization|Full article...]]''')<br />
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Revision as of 18:03, 10 June 2024

Fig2 Berezin PLoSCompBio23 19-12.png

"Ten simple rules for managing laboratory information"

Information is the cornerstone of research, from experimental data/metadata and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging laboratory information management systems (LIMS) to transform this large information load into useful scientific findings. The development of mathematical models that can predict the properties of biological systems is the holy grail of computational biology. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... (Full article...)

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