IOP Publishing’s Open Physics journey
1998
Launch of the first fully OA journal serving all of physics, New Journal of Physics.
2006
Launch of Environmental Research Letters, our flagship fully OA journal for the environmental sciences. An Environmental Research series has subsequently been launched.
2011
Introduced a hybrid option on all IOPP titles with the exception of Reports on Progress in Physics.
2012
First use of the Creative Commons licence
2014
First open access agreement with the Austrian Library Consortium and FWF, a precursor to the transformative agreement.
2018
First ‘read and publish’ agreement reached with Max Planck Digital Library.
2019
Research data policies introduced across all IOPP titles.
Transparent peer review trial begins on three titles: the Journal of Neural Engineering, JPhys Materials, and Environmental Research Letters.
2020
Launched Open Physics to highlight our open science efforts.
Materials Research Express flips to open access.
Introduced transparent journal metrics.
First non-European transformative agreement signed in Saudi Arabia.
2021
Transformative agreements extended to include partner journals.
Number of institutions with transformative agreements reaches 200.
Transparent peer review rolled out to all IOPP open access titles.
2022
Journals of the American Astronomical Society flip to open access.
First transformative agreement signed in North America.
Extended APC waiver programme to all IOPP titles including hybrid.
Data statements made mandatory on all IOPP titles.
2023
Nuclear Fusion flips to fully open access.
First agreement signed in Asia Pacific.
Number of institutions with transformative agreements reaches 900 in 33 countries.
Transparent peer review rolled out to all hybrid journals.
Reports on Progress in Physics, our prestigious reviews journal, introduces an OA option.
Strengthened data policy to require reason for closed data.
2024
Applied Physics Express flips to fully open access.
IOPP joins the OA Switchboard to streamline open access reporting.
Launch of Machine Learning series, the world’s first series of open access journals dedicated to the application and development of machine learning and artificial intelligence for the sciences.
