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IDEA: Improving Data Engagement and Advocacy
Shannon Sheridan and Briana Ezray Wham
28 episodes
6 days ago
In our episodes, we’ll be bringing you interviews from real world data professionals who are engaging their researchers in new and novel ways. We’ll also be reviewing the literature and keeping you up to date on what’s getting published that’s worth a read. Or, in your case, a listen. We hope you’ll join us as we talk with our colleagues and see what’s working…or what’s not in the wider world of research data management.
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All content for IDEA: Improving Data Engagement and Advocacy is the property of Shannon Sheridan and Briana Ezray Wham and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In our episodes, we’ll be bringing you interviews from real world data professionals who are engaging their researchers in new and novel ways. We’ll also be reviewing the literature and keeping you up to date on what’s getting published that’s worth a read. Or, in your case, a listen. We hope you’ll join us as we talk with our colleagues and see what’s working…or what’s not in the wider world of research data management.
Show more...
Careers
Business
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018 - Collections as Data: A Data Literacy Tool for Community Engagement - Orlowska
IDEA: Improving Data Engagement and Advocacy
30 minutes 33 seconds
1 year ago
018 - Collections as Data: A Data Literacy Tool for Community Engagement - Orlowska

The Collections as Data initiative aims to expand the uses of archival data collections by making them more accessible, particularly in forms ready for computationally driven research and teaching. This initiative makes the data from these collections available so that researchers and the public can engage with them.

In this episode, we have the pleasure of speaking with Daria Orlowska, Data Librarian at Western Michigan University, about her collections as data work where she not only worked with others to develop structured datasets from historical records, but also leveraged this collection to create data literacy curriculum.


Daria Orlowska is a data librarian and assistant professor at Western Michigan University. As a former behavioral sciences research assistant, she bases her data education on first-hand experience with the frustration of managing data. In her current position, Daria advises on data management plans, creates data education resources and experiential workshop, provides consultations on data management, finding secondary data, and data project workflows, and advocates for researcher data needs. In addition, she helps curate datasets from archival collections that serve as data literacy teaching tools for college undergraduates and K-12 students alike. She holds an MSLIS from the University of Illinois at Urbana-Champaign. You can find all three lessons on OSF:
- Third grade lesson: https://doi.org/10.17605/OSF.IO/F5HRA
- Eighth grade lesson: https://doi.org/10.17605/OSF.IO/5BH92
- Undergraduate lesson: https://doi.org/10.17605/OSF.IO/PHZNK


The lessons are licensed under CC0, with the hope that others will adapt, remix, or reuse them. When work on the new Michigan Memories portal completes (https://michmemories.org/), we hope to see them there as well.
We used the Record of passing vessels at the South Haven light-station from 1878-1882 log as a basis for all three of our lessons. The original scanned primary source can be found in Western Michigan University's online collection (https://luna.library.wmich.edu/luna/servlet/detail/WMUwmu~90~90~1246014~154475:Record-of-passing-vessels-at-the-So). A transcribed version of this document can be found within Zenodo (https://zenodo.org/records/8044702).

IDEA: Improving Data Engagement and Advocacy
In our episodes, we’ll be bringing you interviews from real world data professionals who are engaging their researchers in new and novel ways. We’ll also be reviewing the literature and keeping you up to date on what’s getting published that’s worth a read. Or, in your case, a listen. We hope you’ll join us as we talk with our colleagues and see what’s working…or what’s not in the wider world of research data management.