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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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Daniel-Mietchen/oabiblio

 
 

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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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