Metrics and Analytics Archives - The Scholarly Kitchen

Guest Post — The Open Access – AI Conundrum: Does Free to Read Mean Free to Train?

It is time for OA proponents to engage in public debate with academic associations, universities and national funding agencies, because the widespread use of academic content in AI models poses significant risks for the research ecosystem.

No One Size Fits All: The Case for Taking a National Approach to PID Adoption

Today, Alice Meadows shares some learnings from MoreBrains Cooperative’s recent cost-benefit analysis of persistent identifiers, conducted on behalf of the Czech National Library of Technology (NTK).

Guest Post — Classification as Colonization: The Hidden Politics of Library Catalogs

The renaming of “Mount Denali” and “Gulf of Mexico” to the politically loaded “Mount McKinley” and “Gulf of America” reveal the naked truth of what cataloging has always been: a battlefield where meaning is contested and conquered.

It Takes a Village: Empowering the Community to Improve Scholarly Metadata through COMET

What if the community could collaborate to fix scholarly metadata? The COMET initiative is about to find out…

Guest Post — Challenges in Academic Publishing Amid War: ISSN Issues in Ukraine Threaten Research Integrity

Recently, a group of Ukrainian researchers uncovered serious violations in the use of ISSN identifiers by journals operating in temporarily occupied territories, revealing systematic misuse of academic infrastructure and promoting narratives hostile to Ukraine.

Telling the Story of How Open Access Benefits Society: A Vision for the Future

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.

Revisiting: Measuring Societal Impact or, Meet the New Metric, Same as the Old Metric

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?

Guest Post: Reflections from The Munin Conference Part Three – Measuring Impact

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.

Mary Ann Liebert, Inc., and Sage Forge a New Relationship

Mary Ann Liebert, Inc., an independent publisher focused on cutting edge biotechnology research, has been acquired by Sage. In this interview, the company’s namesake shares her future vision of the company under Sage ownership as well as her reflections on over 40 years of STM publishing.

Scholarly Publishing: The Elephant (And Other Wildlife) In The Room

Journal-based scholarly communication needs a structural change

Engaging with Your Community to Effect Change: An Irish Case Study

In today’s post Alice Meadows shares a case study of community engagement in Ireland as part of the country’s plans to develop a national persistent identifier (PID) strategy

Guest Post: Time to Rethink Usage Analytics

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.

Variability, Irregular Publisher Metadata, and the Ongoing Evolution of Databases Complicates Reproducibility in Bibliometrics Research

Bibliometric databases are essential tools for research and publishing strategy. But the variability in how they parse publisher metadata and their constant evolution makes it difficult, if not impossible, to exactly reproduce any given piece of research.

A Successful Start to a New Festival of Identifiers: PIDfest 2024

In this post by Todd Carpenter, Phill Jones, and Alice Meadows, you can read all about PIDfest, which brought together nearly 400 persistent identifier users and providers from around the world (in person in Prague, and virtually).

The Case for Probabilistic Metadata

Moving from a binary right/wrong view of metadata to a probabilistic framework brings many benefits

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