Guest Post — Why Research Expectations Have Outpaced the Systems That Enabled Them (Part 2)
Today’s post is the second in a series arguing that fractures appearing across research systems are symptoms of a mismatch within today’s research ecosystem.
Today’s post is the second in a series arguing that fractures appearing across research systems are symptoms of a mismatch within today’s research ecosystem.
Today’s guest blogger questions the operating model around scholarly research and asks why these capabilities are so difficult to sustain at scale.
Traditional metrics do not allow us to fully express how OA publishing benefits society; here’s a vision for the future of storytelling with usage data in scholarly communications.
Bringing back a post from 2018, as funders increasingly demand measurements of “real world” impact from researchers. Does this steer us toward the same traps we’re already in from the ways we already do research assessment and is this short-term thinking problematic for the future of science?
This is the third and final article in a guest series reflecting on the main themes and ideas gathered and discussed at The Munin Conference at the end of 2024. Today’s focus is measuring impact.
This is the second article of three in a guest series reflecting on the main themes and ideas gathered and discussed at The Munin Conference at the end of 2024. Today’s focus is Open Science.
Users (human and machine) are accessing scholarly content in new ways, challenging traditional usage analytics models. In this guest post, Tim Lloyd outlines the challenges ahead in quantifying usage.
Research integrity extends beyond the trustworthiness of basic research results and outputs. How can we ensure that the translation and transformation of those research results into societal outputs and governance policies are equally trustworthy?