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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig4 Davies BMJHealthCareInfo2021 28-1.jpg|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Berezin PLoSCompBio23 19-12.png|240px]]</div>
'''"[[Journal:Development of a core competency framework for clinical informatics|Development of a core competency framework for clinical informatics]]"'''
'''"[[Journal:Ten simple rules for managing laboratory information|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 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 />


Up to this point, there has not been a national core competency framework for [[clinical informatics]] in the U.K. Here we report on the final two iterations of work carried out towards the formation of a national core competency framework. This follows an initial systematic literature review of existing skills and competencies and a job listing analysis. An iterative approach was applied to framework development. Using a mixed-methods design, we carried out semi-structured interviews with participants involved in [[Informatics (academic field)|informatics]] (''n'' = 15). The framework was updated based on the interview findings and was subsequently distributed as part of a bespoke online digital survey for wider participation (''n'' = 87). The final version of the framework is based on the findings of the survey.('''[[Journal:Development of a core competency framework for clinical informatics|Full article...]]''')<br />
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Latest 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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