Academia 2.0: removing the publisher middle-man while retaining impact
Proceedings of the 1st ACM SIGPLAN Workshop on Reproducible Research …, 2014•dl.acm.org
Recent work on academic publishing has focused on transparency, to eliminate skews in
favor of results channeled through already established publishers. This movement, called"
open peer review", will require infrastructure. So far, proposed realizations of open peer
review have relied on centralized coordinating platforms; this is unsatisfactory as this
architectural choice stays vulnerable to long-term predatory commercial capture and data
loss. Instead, we propose" Academia 2.0", a combination of both true peer-to-peer …
favor of results channeled through already established publishers. This movement, called"
open peer review", will require infrastructure. So far, proposed realizations of open peer
review have relied on centralized coordinating platforms; this is unsatisfactory as this
architectural choice stays vulnerable to long-term predatory commercial capture and data
loss. Instead, we propose" Academia 2.0", a combination of both true peer-to-peer …
Recent work on academic publishing has focused on transparency, to eliminate skews in favor of results channeled through already established publishers. This movement, called "open peer review", will require infrastructure. So far, proposed realizations of open peer review have relied on centralized coordinating platforms; this is unsatisfactory as this architectural choice stays vulnerable to long-term predatory commercial capture and data loss. Instead, we propose "Academia 2.0", a combination of both true peer-to-peer, distributed scientific dissemination channels, and their accompanying workflows for open peer review. It features safe decoupling of storage, indexing and search sites and supports research metrics. Our proposal relies on the existence of semantic web sites for researchers and powerful Internet search engines, an assumption which did not hold 10 years ago. We also introduce post-hoc citations, a key mechanism for quality control, impact measurement and post-hoc credit attribution for previous work. Due to the technology involved, computer engineering is likely the scientific field with the most potential to try out and evaluate our model.
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