MW DataLib Symposium @MW_DataLibSym

Symposium for midwestern librarians working with research data. MDLS 2024 #MDLS24 will be in-person from Oct 14-16. mwdatalibrariansymposium.wordpress.com University of Kansas Joined April 2015

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MW DataLib Symposium @MW_DataLibSym

a year ago

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

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MW DataLib Symposium @MW_DataLibSym

2 years ago

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

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MW DataLib Symposium @MW_DataLibSym

2 years ago

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. mwdatalibrariansymposium.wordpress.com for more info and to submit. #datalibs #dataviz

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MW DataLib Symposium @MW_DataLibSym

2 years ago

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 mwdatalibrariansymposium.wordpress.com for more info and to submit. #datalibs #dataviz

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MW DataLib Symposium @MW_DataLibSym

2 years ago

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!

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MW DataLib Symposium @MW_DataLibSym

3 years ago

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."

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MW DataLib Symposium @MW_DataLibSym

3 years ago

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

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MW DataLib Symposium @MW_DataLibSym

3 years ago

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

Tonia @Tonia_Librarian

3 years ago

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

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MW DataLib Symposium @MW_DataLibSym

3 years ago

#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.

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MW DataLib Symposium @MW_DataLibSym

3 years ago

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

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MW DataLib Symposium @MW_DataLibSym

3 years ago

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

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MW DataLib Symposium @MW_DataLibSym

3 years ago

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

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MW DataLib Symposium @MW_DataLibSym

3 years ago

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: krex.k-state.edu/dspace/handle/…

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MW DataLib Symposium @MW_DataLibSym

3 years ago

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

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MW DataLib Symposium @MW_DataLibSym

3 years ago

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 datacurationnetwork.github.io/CURATED #MDLS22

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MW DataLib Symposium @MW_DataLibSym

3 years ago

#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.