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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.
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A set of tools for obtaining and analysing information from bibliographic datasets around the prevalence of open access
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