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 Liscouski AppInfoSciWork21.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig11 Davies PLOSCompBio20 16-11.png|240px]]</div>
'''"[[LII:The Application of Informatics to Scientific Work: Laboratory Informatics for Newbies|The Application of Informatics to Scientific Work: Laboratory Informatics for Newbies]]"'''
'''"[[Journal:Using interactive digital notebooks for bioscience and informatics education|Using interactive digital notebooks for bioscience and informatics education]]"'''


The purpose of this piece is to introduce people who are not intimately familiar with [[laboratory]] work to the basics of laboratory operations and the role that [[Informatics (academic field)|informatics]] can play in assisting scientists, engineers, and technicians in their efforts. The concepts are important because they provide a functional foundation for understanding lab work and how that work is done in the early part of the twenty-first century (things will change, just wait for it). This material is intended for anyone who is interested in seeing how modern informatics tools can help those doing scientific work. It will provide an orientation to scientific and laboratory work, as well as the systems that have been developed to make that work more productive. ('''[[LII:The Application of Informatics to Scientific Work: Laboratory Informatics for Newbies|Full article...]]''')<br />
Interactive digital notebooks provide an opportunity for researchers and educators to carry out data analysis and report results in a single digital format. Further to just being digital, the format allows for rich content to be created in order to interact with the code and data contained in such a notebook to form an educational narrative. This primer introduces some of the fundamental aspects involved in using [[Jupyter Notebook]] in an educational setting for teaching in the [[bioinformatics]] and [[health informatics]] disciplines. We also provide two case studies that detail 1. how we used Jupyter Notebooks to teach non-coders programming skills on a blended master’s degree module for a health informatics program, and 2. a fully online distance learning unit on programming for a postgraduate certificate (PG Cert) in clinical bioinformatics, with a more technical audience. ('''[[Journal:Using interactive digital notebooks for bioscience and informatics education|Full article...]]''')<br />
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''Recently featured'':
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{{flowlist |
{{flowlist |
* [[LII:The Application of Informatics to Scientific Work: Laboratory Informatics for Newbies|The Application of Informatics to Scientific Work: Laboratory Informatics for Newbies]]
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Revision as of 17:10, 7 March 2022

Fig11 Davies PLOSCompBio20 16-11.png

"Using interactive digital notebooks for bioscience and informatics education"

Interactive digital notebooks provide an opportunity for researchers and educators to carry out data analysis and report results in a single digital format. Further to just being digital, the format allows for rich content to be created in order to interact with the code and data contained in such a notebook to form an educational narrative. This primer introduces some of the fundamental aspects involved in using Jupyter Notebook in an educational setting for teaching in the bioinformatics and health informatics disciplines. We also provide two case studies that detail 1. how we used Jupyter Notebooks to teach non-coders programming skills on a blended master’s degree module for a health informatics program, and 2. a fully online distance learning unit on programming for a postgraduate certificate (PG Cert) in clinical bioinformatics, with a more technical audience. (Full article...)

Recently featured: