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, 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 on Industry / HQ/ Product</p> <p>business: dummy variable</p> <p> </p> <p> </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
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.