A set of tools for obtaining and analysing information from bibliographic datasets around the prevalence of open access
Python Shell
Switch branches/tags
Nothing to show
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
data
docs
oabiblio
output
tests
.dexy
.gitignore
README
cc_journals.csv
ccby_journals.csv
ccbync_journals.csv
ccbyncsa_journals.csv
crossref_cydeps_by_license.csv
crossref_deps_by_license.csv
crossreftest.csv
setup.py

README

oabiblio: A python library for obtaining data on levels of
open access adoption

Public Domain Waiver:
To the extent possible under law, Cameron Neylon has waived all 
copyright and related or neighboring rights to lablogpost.py
This work is published from United Kingdom.

See http://creativecommons.org/publicdomain/zero/1.0/

Dependencies: The application requires a range of modules from the
Python 2.7 standard library including urllib, urllib2, re and csv.
Python is Copyright 2001-2012 Python Software Foundation
and used here under the PSF Licence for Python 2.7.2

This code additionally depends on the BeautifulSoupt parsing library.
Development was done using version 3 of this library but it should
work with version 4.

Data Sources: The library uses sources such as PubMed and CrossRef
alongside the Directory of Open Access Journals to obtain data on
publications and licensing.

### Installation

To install from source run:
"sudo pip install -e ." from within your checkout of this repo.

You should then be able to run the 'oacensus' command on your command line.

Or preferably install this using "pip install -e ." from inside a virtualenv
http://www.virtualenv.org/en/latest/index.html

### Command Line Interface

The 'oacensus' command generates the report and downloads updates.

Type 'oacensus help' for more information on how to use this command.