Dataset

Journal subscription costs - FOIs to UK universities

Analysis and Policy Observatory
Stuart Lawson ; Ben Meghreblian ; Michelle Brook
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://apo.org.au/node/58895&rft.title= Journal subscription costs - FOIs to UK universities&rft.identifier=http://apo.org.au/node/58895&rft.publisher=Figshare&rft.description=This dataset contains the amount of money paid by UK higher education institutions to ten major publishers (Elsevier, Wiley, Springer, Taylor & Francis, Sage, Oxford University Press, Cambridge University Press, Nature Publishing Group, Royal Society of Chemistry, and Institute of Physics Publishing) for academic journals from 2010-14. The data was obtained by sending FOI requests to each institution through the website whatdotheyknow.com. It now represents over £430m of expenditure.&rft.creator=Stuart Lawson &rft.creator=Ben Meghreblian &rft.creator=Michelle Brook &rft.date=2015&rft.coverage=United Kingdom&rft_subject=LANGUAGE, COMMUNICATION AND CULTURE&rft_subject=EDUCATION&rft_subject=Education, Higher&rft_subject=Publishers and publishing&rft_subject=Scholarly publishing&rft_subject=Open access publishing&rft.type=dataset&rft.language=English Access the data

Access:

Other

Full description

This dataset contains the amount of money paid by UK higher education institutions to ten major publishers (Elsevier, Wiley, Springer, Taylor & Francis, Sage, Oxford University Press, Cambridge University Press, Nature Publishing Group, Royal Society of Chemistry, and Institute of Physics Publishing) for academic journals from 2010-14. The data was obtained by sending FOI requests to each institution through the website whatdotheyknow.com. It now represents over £430m of expenditure.
Click to explore relationships graph

Spatial Coverage And Location

text: United Kingdom

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers