PLOS Provides Feedback on the Implementation of Plan S | The Official PLOS Blog
PLOS welcomes Plan S as a 'decisive step towards the realisation of full open access'1, in particular the push it provides towards realization of a research process based on the principles of open science.
Academy-owned? Academic-led? Community-led? What's at Stake in the Words We Use to Describe New Publishing Paradigms
There is no question that we are facing significant challenges and opportunities as the traditional publishing model begins to falter. How the academy positions itself at this moment will have consequences for years to come.
AHA Expresses Concerns About Potential Impact of Plan S on the Humanities
The AHA fully supports broad access to the resources required to create new knowledge and share it as widely as possible. However, concerns about the principles set out in Plan S have led the AHA to write a letter to Coalition S members regarding the potential for harm to humanities scholarship.
Plan S Falls Short for Society Publishers - and for the Researchers They Serve
The proposal known as Plan S has the admirable aim of achieving full OA across a wide swath of journal publications. But the path currently suggested has serious drawbacks that could jeopardize nonprofit science societies.
Who Are You Writing For? The Role of Community Membership on Authors' Decisions to Publish in Open Access Mega-Journals
Open Access mega-journals have in some academic disciplines become a key channel for communicating research. In others, however, they remain unknown. This article explores how authors’ perceptions of mega-journals differ across disciplines and are shaped by motivations associated with the multiple communities they function within.
Global Educational Inequality Fuels the Demand for Open Science
Despite the expansion of global Internet coverage and open access journals, research from outside of the United States and Europe is underrepresented. Open science could improve access and representation.
Increasing Your Research's Exposure on Figshare Using the FAIR Data Principles
The FAIR principles were published in 2016 in a Scientific Data article titled 'FAIR Guiding Principles for scientific data management and stewardship'. These were developed to aid in the discovery and reuse of research data.FAIR stands for Findable, Accessible, Interoperable, and Reusable. Data that meet these principles are more optimal for reuse and discoverability and in turn increase your research's exposure.Here's how your data is more FAIR when it's on Figshare.Illustration by Jason McDermott of RedPenBlackPen.