This data use agreement covers the following dataset: Harper, Cynthia; Blanchard, Kelly; Chipato, Tsungai; Nhemachena, Taazadza; Ramjee, Gita; Blum, Maya (2012): Provider counseling and provision of female condom in South Africa and Zimbabwe. UC San Francisco. application/octet-stream. doi:10.7272/q6bg2kwf
This data use agreement covers datasets available through the UCSF Datashare service: datashare.ucsf.edu
These data files contain raw, anonymized response data, as well as a data codebook, from the author survey conducted in May and June 2015 as a part of the Pay It Forward project. The survey was distributed to approximately 15,000 academics at the University of British Columbia, The Ohio State University, the University of California, Irvine, and the University of California, Davis, and received an overall response rate of 14.1%.
These datasets are subsets of tables from the NCSES's Higher Education Research and Development Survey. Tables are limited to include only U.S. Pay It Forward project partner institutions (Harvard, Ohio State, and the University of California system).
These datasets include information about APC prices or payments gathered from various sources and synthesized into two data sets. One dataset maps APC prices to publications by partner institution authors in gold OA journals; the other dataset combines tracked APC payment databases from European countries implementing widespread support for the gold OA model.
This dataset contains the raw data behind three strategies that the Pay It Forward project team considered for estimating the cost of publishing an article in a scholarly journal.
These datasets include aggregated and summarized data describing the publication output of Pay It Forward project partner institutions, as well as provide some data on the characteristics of journals and sources that project partner authors publish in. Data are aggregated and summarized from Web of Science and Scopus.
These data connect Source Normalized Impact per Paper (SNIP) to list-price APC for a subset of full OA journals in which authors from partner institutions on the PIF project regularly publish. These data were used for a regression analysis quantifying the relationship between APC pricing and perceived quality of a journal.