17/2/2016

4 data resources for journalists reporting on Zika

 

Last week, the global scientific community responded to a call from WHO to rapidly share data on the Zika virus. We looked at four data resources that journalists can use to help inform their reporting.

1. GitHub Data Guide

A repository of data, and sources of data, that relate to the current Zika outbreak. As well as providing links to publicly available datasets, the GitHub Data Guide also includes an archive of PDF reports that have been used to extract specific data.

Visit the GitHub page here.

2. HDX

The Humanitarian Data Exchange (HDX) is an open platform dedicated to sharing data related to humanitarian emergencies. To find data, users can conduct a keyword search or filter based on location, organization, tags, format and licence.

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Image: A Google spreadsheet of data related to the Zika virus stored on HDX

For the most part, content on HDX is provided under a Creative Commons licence and free for anyone to share or adapt.

Start exploring HDX here.

3. The ReliefWeb API

The ReliefWeb API allows you to scrape the latest reports and maps related to the Zika Disaster. By leveraging ReliefWeb's strict taxonomy, or free text search query tool, in the form of an API request, you can retrieve real-time updates on the virus specific to the particular angle that you are interested in.

For example, say you are only interested in reports that look at Zika and data. To pull these, you could use the query: api.rwlabs.org/v1/reports?query[value]=zika%20data&query[fields][]=title&query[fields][]=body&query[operator]=AND

Which would return the following sample of results:

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Conducting a similar query on ReliefWeb's front-end search would return the following results:

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Learn more about the ReliefWeb API here.

4. The Lancet Zika Virus Resource Centre

Bringing together articles and resources from The Lancet and its family of journals, this resource aims to keep the public health community abreast with the most recent research and developments related to the virus. In line with its data sharing commitment, all articles and related data are free to access.

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Visit the Resource Centre here.

Photo: coniferconifer

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