MW DataLib Symposium

Symposium for midwestern librarians working with research data. MDLS 2024 #MDLS24 will be in-person from Oct 14-16.

[MW DataLib Symposium @MW_DataLibSym]

Save the Date! #MDLS24 will be in-person in Lawrence, KS, on Oct 14-16, 2024, hosted by @kulibraries.

[MW DataLib Symposium @MW_DataLibSym]

Excited to see everyone bright and early in Cincinnati! #MDLS2023

[MW DataLib Symposium @MW_DataLibSym]

Reminder, get your session proposals in for #MDLS23 by July 14. Tell us about your cool work in research data or data librarianship! We'll be in-person at the University of Cincinnati, October 9-11. https://t.co/jrRrjdLhMW for more info and to submit. #datalibs #dataviz

[MW DataLib Symposium @MW_DataLibSym]

CFP Alert! #MDLS23 invites session proposals for its 9th symposium on October 9, 10, & 11, 2023. Presenters are asked to attend in-person at the University of Cincinnati.
Visit https://t.co/jrRrjdKJXo for more info and to submit. #datalibs #dataviz

[MW DataLib Symposium @MW_DataLibSym]

It's official: #MDLS23 will be returning to an in-person event on Oct 9-11, in Cincinnati, Ohio! Tell your friends #datalibs! CFP + registration info coming soon - stay tuned!

[MW DataLib Symposium @MW_DataLibSym]

Speaking at #MDLS22, @SLCaldrone reminds us that designing for visual accessibility is not a new idea. Guides for designing for color blindness have been around since at least the 1930s.
"We don't have any good excuses for not making visuals more accessible if we can do so."

[MW DataLib Symposium @MW_DataLibSym]

The only thing better than an unexpectedly popular series of data visualization videos? Figuring out why so you can do it again. Kristen Adams and Roger Justus from @MiamiOHLib are telling us how. #MDLS22

[MW DataLib Symposium @MW_DataLibSym]

So are we! We love making the most of data!

[Tonia @Tonia_Librarian]

@MW_DataLibSym Looking forward to hearing how to use Outlook and the session on finding institutional data!😀

[MW DataLib Symposium @MW_DataLibSym]

#MDLS22: data librarians already have some data skills, so why not use them for your daily administrative tasks? @SHU_Libraries 's Chelsea Barrett and @samah_alshrief tell us how to streamline the process with Outlook calendar exports.

[MW DataLib Symposium @MW_DataLibSym]

We're hearing from @bntzyn about Google CoLab and R-Studio CoLab - two platforms that can avoid common challenges of leading a coding workshop when students are using their own remote machines. #MDLS22 #DataTools

[MW DataLib Symposium @MW_DataLibSym]

Kicking off our final day of #MDLS22 with a series of talks on Data Tools! Grab your [coffee emoji] and enjoy!

[MW DataLib Symposium @MW_DataLibSym]

Jessica @hagman of @illinoislibrary reminds us to support qualitative data research.
"We want to recognize the full potential of our campuses doing research on the world in a complex way, rather than based on very narrow definitions of science and knowledge." #MDLS22

[MW DataLib Symposium @MW_DataLibSym]

Kendra Spahr and Laura Bonella of @KState gave #MDLS22 a template of how to build out data services strategically based on the strengths you have, training available, and what your researchers need. Read more on their work supporting Social Sciences here: https://t.co/ZL5g7yYVIh

[MW DataLib Symposium @MW_DataLibSym]

Have you ever heard of a Cursor garden? Ours is sublime! #MDLS22

[MW DataLib Symposium @MW_DataLibSym]

"A poor information pathway contributes to extraneous cognitive load, which is already substantial while programming"

[MW DataLib Symposium @MW_DataLibSym]

Advice from Dominic Bordelon on documenting code: we're great teaching students to write code - but often we don't teach them how to phrase and answer questions _about_ coding. #MDLS22 #datacuration

[MW DataLib Symposium @MW_DataLibSym]

Looking for hands-on, real-world examples for data curation training? We're hearing from @bezray2 and @mikalaraethelib about training modules from @WeAreDCN. Check them out at https://t.co/nPHr5JSqSQ #MDLS22

[MW DataLib Symposium @MW_DataLibSym]

#MDLS22: Heather L. Barnes reminds us that while documentaries may be faster and cheaper to make than traditional ones, preserving them can be tougher. They involve large files, many material types, and little time, expertise, or funding to help.

[MW DataLib Symposium @MW_DataLibSym]

@KristinBriney @ScottMLibrary @hedgielib 😱😭

[MW DataLib Symposium @MW_DataLibSym]

This was a great example of collaboration! Thank you so much for sharing with us!