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 Poirier DataScienceJournal2019 18-1.png|240px]]</div>
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'''"[[Journal:Data sharing at scale: A heuristic for affirming data cultures|Data sharing at scale: A heuristic for affirming data cultures]]"'''
'''"[[Journal:Laboratory testing for coronavirus disease (COVID-19) in suspected human cases|Laboratory testing for coronavirus disease (COVID-19) in suspected human cases]]"'''


Addressing the most pressing contemporary social, environmental, and technological challenges will require integrating insights and sharing data across disciplines, geographies, and cultures. Strengthening international data sharing networks will not only demand advancing technical, legal, and logistical infrastructure for publishing data in open, accessible formats; it will also require recognizing, respecting, and learning to work across diverse data cultures. This essay introduces a heuristic for pursuing richer characterizations of the “data cultures” at play in international, interdisciplinary data sharing. The heuristic prompts cultural analysts to query the contexts of data sharing for a particular discipline, institution, geography, or project at seven scales: the meta, macro, meso, micro, techno, data, and nano. The essay articulates examples of the diverse cultural forces acting upon and interacting with researchers in different communities at each scale. The heuristic we introduce in this essay aims to elicit from researchers the beliefs, values, practices, incentives, and restrictions that impact how they think about and approach data sharing. Rather than represent an effort to iron out differences between disciplines, this essay instead intends to showcase and affirm the diversity of traditions and modes of analysis that have shaped how data gets collected, organized, and interpreted in diverse settings. ('''[[Journal:Data sharing at scale: A heuristic for affirming data cultures|Full article...]]''')<br />
This document provides interim guidance to [[Laboratory|laboratories]] and stakeholders involved in [[COVID-19]] virus laboratory testing of patients. It is based in part on the interim guidance on laboratory testing for [[Middle East respiratory syndrome]] (MERS) coronavirus. [[Information]] on human [[infection]] with the COVID-19 virus is evolving and the [[World Health Organization]] (WHO) continues to monitor developments and revise recommendations as necessary. This document will be revised as new information becomes available. Feedback is welcome and can be sent to WHElab@who.int. The virus has now been named SARS-CoV-2 by the International Committee of Taxonomy of Viruses (ICTV)(2). This virus can cause the disease named coronavirus disease 2019 (COVID-19). WHO refers to the virus as COVID-19 virus in its current documentation. ('''[[Journal:A security review of local government using NIST CSF: A case study|Full article...]]''')<br />
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Revision as of 15:46, 23 March 2020

Anx1 WHO 2020 2020.5.png

"Laboratory testing for coronavirus disease (COVID-19) in suspected human cases"

This document provides interim guidance to laboratories and stakeholders involved in COVID-19 virus laboratory testing of patients. It is based in part on the interim guidance on laboratory testing for Middle East respiratory syndrome (MERS) coronavirus. Information on human infection with the COVID-19 virus is evolving and the World Health Organization (WHO) continues to monitor developments and revise recommendations as necessary. This document will be revised as new information becomes available. Feedback is welcome and can be sent to WHElab@who.int. The virus has now been named SARS-CoV-2 by the International Committee of Taxonomy of Viruses (ICTV)(2). This virus can cause the disease named coronavirus disease 2019 (COVID-19). WHO refers to the virus as COVID-19 virus in its current documentation. (Full article...)

Recently featured:

One tool to find them all: A case of data integration and querying in a distributed LIMS platform
What is the "source" of open-source hardware?
From command-line bioinformatics to bioGUI