Data Stories - graphicsdesk/everything GitHub Wiki
-
Leads
- https://data.nysed.gov/highered-swd.php?year=2019&instid=800000047082
- Graduation rates: compare last 20 years of cohorts (up to 2011) between sexes/races/ethnicities with peer institutions. See IPEDS. NCAA has no student-athlete-only data, but the student body data includes the entire student body, not just students on federal financial aid.
- Phi betta kappa stats
- "It's not just you: expensive stores/companies popping up all over the place" (NYC Planning Labs)
- Research productivity (ask Raag)
- https://www.nber.org/papers/w23019
- Course registration, both Columbia and Barnard
- Center for Career Education, both Columbia and Barnard
- Faculty housing
- Staff (and faculty) aging
- Citations. See this story. Code to regenerate is available.
- "In 2017, a study showed that scientists in Italy began citing themselves more heavily after a controversial 2010 policy was introduced that required academics to meet productivity thresholds to be eligible for promotion." https://www.chronicle.com/article/Meet-the-Researchers-Fighting/247261?cid=wcontentlist_hp_latest&cid=db&source=ams&sourceId=4973082
Sources
Most of the data you'll find is from external sources like the federal and state government.
-
NSF: Academic institution profiles, Survey of Earned Doctorates sex disparities (see SED's tabulation engine), interesting outliers and growth patterns in federally funded R&D expenditures
-
Other federal agencies: NIH report, Government agencies that collect data about academic institutions, this kinda sketch paper about federal grant money
-
Other state and local agencies: NYC Planning Labs
-
Check out Association of American Medical Colleges
-
Check out https://ncsesdata.nsf.gov/webcaspar/
-
FEC filings, merged with Columbia Directory to get occupation and department
-
NIH biomedical citations: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000385