As #23andMe gets sold off, Duana Fullwiley's book shows how race gets encoded in the categories that structure genome science and why libraries should ensure that research impact services retain a critical outlook.

The latest in my Repertoires series for the Association of Research Libraries!

https://www.arl.org/blog/repertoires-how-geneticists-keep-circling-back-to-race/

My colleague and I spoke with IMLS senior program officer Ashley Sands about the agency's new public access policy guidance, including the importance of developing #OpenScience norms in the library and museum research community.

https://www.arl.org/blog/imls-public-access-policy-guidance-explained/

My first new initiative at the Association of Research #Libraries!

Book-length studies of scholarly communities can signal changes in research practice, but library leaders are often too busy to read them.

This blog series aims to distill actionable insights in the key of #EpistemicDiversity.

https://www.arl.org/blog/introducing-repertoires-a-series-on-scholarly-ways-of-working/

A worthwhile effort to frame #ResearchSecurity in terms of researcher agency and relationality instead of compliance, although it does seem to set up the mononational researcher and institution as the baseline.

https://www.tandfonline.com/doi/full/10.1080/08989621.2024.2318789

Just came across this post by a now-elder in my #Quaker meeting, written upon being asked to take on a daunting service role.

Asked recently to do the same, my instinct was to beg off but I'm glad I concluded what she did: "Not risking can be the wrong answer, too."

https://www.patheos.com/blogs/quakerpagan/2006/07/ministry-and-worship-redux.html

Curtis Brundy and Joel Thornton on #PaperMills as a publishing integrity issue. What can libraries do?

✔️ Improve processes for end-to-end retraction
✔️ Invest in non-APC open access models
✔️ Support research integrity investigations

https://insights.uksg.org/articles/10.1629/uksg.659

A methodologist's take on surveys about (declining) #trust in science: "Researchers ... need more granular data than direct 'how much do you trust?' measures if they hope to understand what leads people to trust scientists."

https://journals.sagepub.com/doi/10.1177/09636625231161302