New Article: Open Access, Megajournals, and MOOCs: On the Political Economy of Academic Unbundling
Here’s a new article (published online today) from the latest issue of SAGE Open that will likely be of interest to many readers.
October-December 2013: 1 –16
The development of “open” academic content has been strongly embraced and promoted by many advocates, analysts, stakeholders, and reformers in the sector of higher education and academic publishing. The two most well-known developments are open access scholarly publishing and Massive Online Open Courses (MOOCs), each of which are connected to disruptive innovations enabled by new technologies. Support for these new modes of exchanging knowledge is linked to the expectation that they will promote a number of public interest benefits, including widening the impact, productivity, and format of academic work; reforming higher education and scholarly publishing markets; and relieving some of the cost pressures in academia. This article examines the rapid emergence of policy initiatives in the United Kingdom and the United States to promote open content and to bring about a new relationship between the market and the academic commons. In doing so, I examine controversial forms of academic unbundling such as open access megajournals and MOOCs and place each in the context of the heightened emphasis on productivity and impact in new regulatory regimes in the area of higher education.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.