Crystal Lewis

It’s so nerdy but it helps me keep track of them. 😅❤️

I’ve love this discussion that Jen has started.

What part of data management did you learn the hard way?

Also yes! I love your phrasing about data management being part of the hidden curriculum. I wish such a vital part of research wasn’t hidden.

I'm so glad this opening paragraph resonates with you! While more resources are starting to be released that will hopefully help people manage data, I think most people are unfortunately still learning things the hard way. Thank you for sharing one thing you learned the hard way!

I'm currently reading Dungeon Crawler Carl and really enjoying it.

Issue 35 of #rdmweekly is out!

Including:
➡️ Building Realistic Fake Datasets with Pointblank @richmeister.bsky.social
➡️ Rethinking TXT Files @kbriney.bsky.social
➡️ Economic Benefits of OS @plos.org
➡️ What Is Data Governance? @thegovlab.org
and more!

Link: rdmweekly.substack.com/p/rdm-weekly...

It pays to get organized. 🗃️
cghlewis.com/talks/cos/

Oh yeah, sorry those materials are pretty old. Try this! osf.io/e5g6t/files/...

This is great and will make the data so much more reusable!

Do you happen to have data dictionaries or codebooks describing what the variables in the datasets represent?

Fellow researchers: Use my data! 📢 The whole point of the journal Scientific Data is to validate and share datasets for other researchers to use. It's all available on the Open Science Framework: doi.org/10.17605/OSF... @cos.io

Postdoc job! I'm looking to recruit a postdoc to work on a project about research evaluation & metadata. More info here: www.yorku.ca/research/wp-...

Salary: CDN$70,000 (+ benefits)
Location: Toronto, ON (can be remote in ON)
Length: 18 months
Deadline: 31 March 2026
Start date: 1 July 2026

Oh I definitely know I'm not the only one. And I'm glad because I know people much smarter than me are helping us think through all of this. 🙏

Woke up this morning being my usual nerdy self, thinking about AI and it's relationship to data management. 🤓
Things on my mind:
1. Preparing data to be "AI-ready"
2. AI accessing your publicly shared data no matter the license
3. How to ethically use AI for DM
4. How to NOT ethically use AI for DM

❤️❤️

I'm just a PI, standing in front of his lab, asking them once again to please label things more specifically than "Abstract.docx" or "Grant.docx"

🤜🤛

My birthday is in June, in case anyone is wondering.....

Thanks for sharing @emilyafarris.bsky.social 😄

www.etsy.com/listing/1728...

One of my go-tos: "If no one's responsible for that task, that's exactly who does it"

So much of data management (and a lot of other task-oriented stuff) is just roles and responsibilities

Thanks, Sean. I was leaning this way as well.

Yeah, I saw that in the FAQs. Ok cool, I'll need to think on this! Thanks!

This might be a dumb question, but I'm assuming you don't want to use this if you are working with sensitive/identifiable data?

A screenshot of an RStudio window. On the left-hand side is a new pain called Posit Assistant. The Posit Assistant had recently run code making a lat-lon plot of Washington state, colored by whether the point had been marked as forested or not.

Today we're releasing AI for RStudio. It's really, really good—I'd encourage you to point it at the messiest data sources you have and see what it can do.

www.simonpcouch.com/blog/2026-03...

Chapter 7 Project Roles and Responsibilities | Data Management in Large-Scale Education Research Figure 7.1: Planning roles in the research project life cycle. Part of the DMP and planning data management phase, as noted in previous chapters, will include assigning roles and responsibilities...

datamgmtinedresearch.com/roles

At the beginning of a research project, it is important to assign and document roles, not just presume roles.

Doing so helps team members know exactly what is expected of them, allows them to develop standardized workflows, as well as create contingency plans for continuity of practices.

Great thread here. Thanks to everyone that shared.

A new way to read & write Markdown Typora is a cross-platform minimal markdown editor, providing seamless experience for both markdown readers and writers.

it's 2026! there are tons of kickass tools for composing text out there that aren't the thing that was state of the art in 1996!

some great ones
typora.io minimalist, attractive markdown editor ($15)
quarto.org scientific and technical publishing ($0)
zotero.org automatic citations & reflists ($0)

if there tiktok videos sending up your software, and they go uber-viral because *everyone has experienced your software doing what they're making fun of*, maybe it's, like, bad software?

Thanks for sharing, Jenna!