Academic Chemistry Inputs and Outcomes Data

Rosenbloom, Joshua L.; Ginther, Donna K.; Juhl, Ted P.; Heppert, Joseph A.

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This comma-separated-values file contains a 17 column x 3,085 rows matrix of data. The first row consists of variable names while the remaining 3,084 rows each represent one university-year of data. (328.0Kb)

This STATA v.11 data file contains 17 variables and 3,084 observations for each variable. See the PDF in this record for a listing of the variables. (343.2Kb)

This PDF codebook details the sources of all data included in the data set, issues in linking data across different sources and a list of variables included in the data set. (60.99Kb)

Issue Date

2015-07-17

Author

Rosenbloom, Joshua L.

Ginther, Donna K.

Juhl, Ted P.

Heppert, Joseph A.

Type

Dataset

Published Version

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0138176

Metadata

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Description

The Academic Chemistry Inputs and Outcomes Data assembles panel data on academic chemistry inputs and outputs for 147 universities from 1989 through 2009. Each observation represents a single university-year and includes information on numbers of publications, citations to these publications, levels of federal and non-federal R&D funding, numbers of faculty, postdoctoral researchers, doctorates awarded and institutional characteristics. The data were compiled for the analysis of the determinants of university publication behavior and its relationship to research funding as reported in Joshua L. Rosenbloom, Donna K. Ginther, Ted Juhl and Joseph Heppert, "The Effects of Research & Development Funding on Scientific Productivity: Academic Chemistry, 1990-2009," Public Library of Science One, available in KU ScholarWorks at http://hdl.handle.net/1808/20057.

As described in the Data Description and Code Book, these data were assembled by linking together information from a number of publicly available data sources and combining them with proprietary data on publications and citations provided by Thomson Reuters from their Web of Science database.

These data are available to download as a text file (.csv) and as a STATA (.dta) data file. Anyone is free to use these data for scholarly purposes, but must include a citation to this user guide in any papers or published articles that employ these data.

URI

http://hdl.handle.net/1808/18234

DOI

https://doi.org/10.17161/1808.18234

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