Editing COVID-19 Digital Observatory (section)

===Data ===
The best way to find the data is to visit https://covid19.communitydata.science/datasets/. The <code>search_results</code> directory contains compressed raw data generated by Nick Vincent's [https://github.com/nickmvincent/LinkCoordMin SERP scraping project]. The <code>wikipedia</code> directory has view counts and revision histories for Wikipedia pages of COVID-19-related articles in <code>.json</code> and <code>.tsv</code> format. The <code>keywords</code> directory has <code>.csv</code> files with COVID-19 related keywords translated into many languages and associated Wikidata item identifiers. 

====Search Engine Results Pages (SERP) Data====
The SERP data in our initial data release includes the first search result page from Google and Bing for a variety of COVID-19 related terms gathered from Google Trends and Google and Bing's autocomplete "search suggestions." Specifically, using a set of six "stem keywords" about COVID-19 and online communities ("coronavirus", "coronavirus reddit", coronavirus wiki", "covid 19", "covid 19 reddit", and "covid 19 wiki"), we collect related keywords from Google Trends (using open source software[https://www.npmjs.com/package/google-trends-api]) and autocomplete suggestions from Google and Bing (using open source software[https://github.com/gitronald/suggests]). In addition to COVID-19 keywords, we also collect SERP data for the top daily trending queries. Currently, the SERP data collection process does not specify location in its searches. Consequently, the default location used is the location of our machine, at Northwestern University's Evanston campus. We are working on collecting SERP data with location specified beyond the Chicago area (aka other 'localized' content). 

The SERP data is released as a series of compressed archives (7z), one archive per day, that follow the naming convention <code>covid_search_data-[YYYYMMDD].7z</code>. You will need a 7z extractor, "7z Opener" on windows worked well for me. Within these compressed archives, there is a folder for each device emulated in the data collection (currently two: Chrome on Windows and iPhone X) which contains all of the respective SERP data. Per each device subdirectory, SERP data itself is organized into folders that are titled by the URL of the search query (e.g. <code>'https---www.google.com-search?q=Krispy Kreme'</code>), and each SERP folder contains three data files: 
* a PNG screenshot of the full first page of results, 
* an mhtml "snapshot" (https://github.com/puppeteer/puppeteer/issues/3658), 
* and a json file with a variety of metadata (e.g. date, the device emulated) and a list of every link (<a>) element in the page with its coordinates (top, left, bottom, right) in pixels.

====Wikipedia data====

Our initial release provides exhaustive edit and [[Wikipedia:Pageview_statistics|pageview data]] for the list of English Wikipedia articles covered by [[Wikipedia:Wikiproject COVID-19|WikiProject Covid-19]]. Please note that the edit JSON data of revisions include the full text of every revision made to articles in [[:wikipedia:Wikipedia:WikiProject COVID-19|English Wikipedia's Wikiproject COVID-19]]. They are highly compressed and and expand to between 20G and 200GB of data per day. Depending on the computer you use, it may not work to load them into memory all at once for analysis.

Each are updated daily and we are working to add historical data from all other language Wikipedia editions.