Dear Stefan,
There has been many such attempts in the US. On top of my head, here is a
large and data driven one:
A Data-Based Assessment of Research Doctorate Programs in the United States:
https://www.ncbi.nlm.nih.gov/books/NBK83404/
Excerpt
*A Data-Based Assessment of Research-Doctorate Programs in the United
States*provides an unparalleled dataset collected from doctoral
institutions, doctoral programs, doctoral faculty and public sources that
can be used to assess the quality and effectiveness of doctoral programs
based on measures important to faculty, students, administrators, funders,
and other stakeholders. The committee collected 20 measures that include
characteristics of the faculty, such as their publications, citations,
grants, and diversity; characteristics of the students, such as their GRE
scores, financial support, publications, and diversity; and characteristics
of the program, such as number of Ph.D.’s granted over five years, time to
degree, percentage of student completion, and placement of students after
graduation. The data were collected for the academic year 2005–2006 from
more than 5,000 doctoral programs at 212 universities. These observations
span 62 fields, and the research productivity data are based typically on a
five-year interval. Some datasets (such as publications and citations) go
as far back as 1981. Information on enrollments and faculty size were also
collected for 14 emerging fields.
Furthermore,NSF and National Center for Education Statistics continuosly
collect data on doctoral education in the US, if you dig into their
websites you can find many publicly available reports and datasets.
I hope this helps,
Ali O. ilhan,PhD
Ozyegin University(OzU)/ Istanbul Institute of Design
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