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Research Data Access and Preservation Summit, 2016
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May 4-7, 2016
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May 4-7, 2016
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Pathway to Excellence: Connecting Collaboration, Culture, and Data ohedconnectforsuccess
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RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measu...ASIS&T
Research Data Access and Preservation Summit, 2016
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Atlanta, GA
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Poster session (Wednesday, May 4)
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Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
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Research Data Access & Preservation Summit 2013
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Pathway to Excellence: Connecting Collaboration, Culture, and Data ohedconnectforsuccess
Pathway to Excellence: Connecting Collaboration, Culture, and Data
June 27, 9 – 10am, Room: Clark
Come to this session and hear how collaboration, high performing teacher teams and the creation of pathways to excellence can be sustained over time. Attendees will learn the importance of establishing a positive culture within the learning environment and how this relates to data-driven decision making. The presenter will share creative ways to use the available resources of time, people, and data and will identify the skills necessary to produce high-performance teams.
Main Presenter: Erika Simmons, Lakota Local Schools
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3. Content
Information Sessions & Discussion Group
• Best Practices Overview
• Documentation
• Storage & Backups
• Sharing & Archiving
4. Marketing
Information Sessions
• Faculty & Grad students
• Flyers
• Professional language
Discussion Group
• Grad students
• Campus bar
• Seminars
• Hip lingo to relate to the
young people
5. Oh, the Horror!
We’re all terrible at collecting data in
any sort of organized way. Not
literally all of us, but, basically all of
us. Even those of us that know
better. Even those of us with good
intentions. Even the government.
Oh, man. Yikes. The government is
pretty terrible at this. Let’s talk
about all the mistakes THEY make
according to this article/info graphic.
Then let’s talk about ways to be
better than that.
See readings for series at
http://guides.temple.edu/datamgmt
/pastevents
6. Attendance & Reception
Information Sessions
• Small turn out
• Mix of faculty, librarians,
and students
• Positive feedback
Discussion Group
• Small turn out
• Mostly librarians for most
sessions, some with grad
students, some with faculty
• Positive feedback
9. Hat Tips
Thanks to Cameron Cook from UW for her
amazing image
Thanks to Dorothea Salo and Kristin Briney for
their PinBoards of Data Horror stories
Thanks to all the Twitter peeps who encouraged
me to forge ahead with the full moon bit
Editor's Notes
In the Fall 2015 semester, I led a series of RDM information sessions based largely on the NECDMC and MANTRA materials. They were well received, but I wondered if it might be more fun to do something more interactive. I decided to put together a Data Horror Stories discussion group that I ran in the Spring. So. How’d that go?
The discussion group met every full moon in the Libraries’ relatively new Digital Scholarship Center. Ahead of the semester, I picked out Data Horror Stories readings that focused on a theme for each month. The readings were all short and had descriptive titles so that they could still be a jumping off point for discussion even if no one read the articles (which no one did).
Because I wanted to compare the info sessions' learning outcomes to the discussion groups', I use the same themes each month. Aside from the format, the main difference in preparing was to limit learning outcomes for the discussion group. I tried to have one or two main takeaways for attendees but let other issues come up through the discussion. This was a bit difficult for the overview but worked well with the other meetups.
For marketing, we did normal things for the traditional workshops: flyers, emails to departments, social media. We used normal, professional language. For the discussion groups, I really wanted to target grad students. I did the normal stuff and but also flyered the campus bar and the coffee carts outside the grad student seminars.
I also got to use hip lingo and use this great image by UW Madison's Cameron Cook and put this header in all the emails I sent. You can see the readings and the descriptions at this URL.
Despite the rad marketing, the attendance at both types of events was pretty evenly small. The Fall info sessions had pretty steady numbers, though, while the Spring discussion group starter with a good size but dwindled as the weather got nicer. Both types of events had similarly positive feedback and "what I learned" comments. Based on these standard metrics, it doesn't seem like there was any real advantage to doing one type of event over the other. However, the Discussion Groups had, I think, a really important edge
Buzz! I would run into faculty and grad students and they'd talk to be about the events.
They'd say how their lab mates or their students really needed to attend whichever of the discussions. I'd go to happy hour and they'd talk about data management and I WASN'T THE ONE BRINGING IT UP! They would start telling their own data horror stories.
My favorite thing a grad student to me was “Our lives are data horror stories” Even though the conversations weren't happening at the scheduled times, they still allowed the grad students to talk about, reflect on, and commiserate about RDM. I think that's a giant win.