Difference between revisions of "Main Page/Featured article of the week/2022"

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<!--<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: January 3–9:</h2>
<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: January 10–16:</h2>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig3 Fairchild FrontPubHealth2018 6.jpg|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig6 Ogle FrontBigData2021 4.jpg|240px]]</div>
'''"[[Journal:Epidemiological data challenges: Planning for a more robust future through data standards|Epidemiological data challenges: Planning for a more robust future through data standards]]"'''
'''"[[Journal:Named data networking for genomics data management and integrated workflows|Named data networking for genomics data management and integrated workflows]]"'''


Accessible [[Epidemiology|epidemiological]] data are of great value for emergency preparedness and response, understanding disease progression through a population, and building statistical and mechanistic disease models that enable forecasting. The status quo, however, renders acquiring and using such data difficult in practice. In many cases, a primary way of obtaining epidemiological data is through the internet, but the methods by which the data are presented to the public often differ drastically among institutions. As a result, there is a strong need for better data sharing practices. This paper identifies, in detail and with examples, the three key challenges one encounters when attempting to acquire and use epidemiological data: (1) interfaces, (2) data formatting, and (3) reporting. ('''[[Journal:Epidemiological data challenges: Planning for a more robust future through data standards|Full article...]]''')<br />
Advanced [[Imaging informatics|imaging]] and [[DNA sequencing]] technologies now enable the diverse biology community to routinely generate and analyze terabytes of high-resolution biological data. The community is rapidly heading toward the petascale in single-investigator [[laboratory]] settings. As evidence, the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) central DNA sequence repository alone contains over 45 petabytes of biological data. Given the geometric growth of this and other [[genomics]] repositories, an exabyte of mineable biological data is imminent. The challenges of effectively utilizing these datasets are enormous, as they are not only large in size but also stored in various geographically distributed repositories such as those hosted by the NCBI, as well as in the DNA Data Bank of Japan (DDBJ), European Bioinformatics Institute (EBI), and NASA’s GeneLab. ('''[[Journal:Named data networking for genomics data management and integrated workflows|Full article...]]''')<br />
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|<br />//--><h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: January 3–9:</h2>
|<br /><h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: January 3–9:</h2>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig8 Lee Sustain20 13-1.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig8 Lee Sustain20 13-1.png|240px]]</div>
'''"[[Journal:Implement an international interoperable PHR by FHIR: A Taiwan innovative application|Implement an international interoperable PHR by FHIR: A Taiwan innovative application]]"'''
'''"[[Journal:Implement an international interoperable PHR by FHIR: A Taiwan innovative application|Implement an international interoperable PHR by FHIR: A Taiwan innovative application]]"'''

Revision as of 18:52, 17 January 2022

If you're looking for other "Article of the Week" archives: 2014 - 2015 - 2016 - 2017 - 2018 - 2019 - 2020 - 2021 - 2022

Featured article of the week archive - 2022

Welcome to the LIMSwiki 2022 archive for the Featured Article of the Week.

Featured article of the week: January 10–16:

Fig6 Ogle FrontBigData2021 4.jpg

"Named data networking for genomics data management and integrated workflows"

Advanced imaging and DNA sequencing technologies now enable the diverse biology community to routinely generate and analyze terabytes of high-resolution biological data. The community is rapidly heading toward the petascale in single-investigator laboratory settings. As evidence, the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) central DNA sequence repository alone contains over 45 petabytes of biological data. Given the geometric growth of this and other genomics repositories, an exabyte of mineable biological data is imminent. The challenges of effectively utilizing these datasets are enormous, as they are not only large in size but also stored in various geographically distributed repositories such as those hosted by the NCBI, as well as in the DNA Data Bank of Japan (DDBJ), European Bioinformatics Institute (EBI), and NASA’s GeneLab. (Full article...)


Featured article of the week: January 3–9:

Fig8 Lee Sustain20 13-1.png

"Implement an international interoperable PHR by FHIR: A Taiwan innovative application"

Personal health records (PHRs) have many benefits for things such as health surveillance, epidemiological surveillance, self-control, links to various services, public health and health management, and international surveillance. The implementation of an international standard for interoperability is essential to accessing PHRs. In Taiwan, the nationwide exchange platform for electronic medical records (EMRs) has been in use for many years. The Health Level Seven International (HL7) Clinical Document Architecture (CDA) was used as the standard for those EMRs. However, the complication of implementing CDA became a barrier for many hospitals to realizing standard EMRs. In this study, we implemented a Fast Healthcare Interoperability Resources (FHIR)-based PHR transformation process, including a user interface module to review the contents of PHRs. (Full article...)


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