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zenodorestricted

Computer Science Research 2011-2018

<p><strong>Location of the institution</strong></p> <p>The location of the institution has been established by a 2-step process. First, a custom web-scraping tool has been used to find the latitude-longitude data of the institution at Wikipedia. For the institutions that were not successfully identified at Wikipedia, the location was attached using GeoPy (Bing location service).</p> <p>The following columns are related to location:</p> <p>LatLonReady: Latitude and longitude data</p> <p>country: name of the country</p> <p>continent: name of the continent</p> <p>cblock: same as country,&nbsp;EU countries as EU28</p> <p><strong>Business institution</strong></p> <p>Using the scraping tool developed for Wikipedia search, institutions were identified as business units if Wiki page contained information &nbsp;on Industry&nbsp;/ HQ/ Product</p> <p>business: dummy variable</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

20/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
0
Reuse readiness
0
Engagement
8

Topics

Dataset details

Repository
zenodo
Published
March 28, 2019
License
Not reported
DOI
10.5281/zenodo.2616676

Scored with release 0.9.0

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Your academic CV and NIH biosketch

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