Numeric and Geospatial Data Services in Academic Libraries Interest Group (ACRL) Community
Welcome to the Numeric and Geospatial Data Services in Academic Libraries Interest Group's home on ALA Connect. For short, I thought we could call this DIG (for Data Interest Group). Our purpose is:
To bring together ACRL members who are actively engaged in the planning for, oversight of, and/or provision of data services within academic libraries. Providing patron support in the acquisition, storage and use of numeric and geospatial data is fast becoming an expected add-on to public and technical services in academic and research libraries. The responsibility of this group to provide a forum by which librarians and academic library staff engaged in these services can provide/receive insight into, examples of, and training on how data services are developed and delivered. This group may also serve as a bridge between other professional associations dedicated to the provision of data services in research environments (e.g. IASSIST and APDU).
This will be our official communication space. As we are brand new, we are not yet listed on the ACRL Interest Groups to choose from when requesting membership in ACRL. I anticipate this will happen soon. In the interim, I invite you to "Watch This Space" by subscribing (see right-hand menu).
There's are a series of webinars about teaching data literacy. It's going to be really fun and you can either dip your toes in or attend all the webinars - which are free.
The Conference Begins Thursday Morning!
We're looking forward to seeing you on Thursday morning as we kick off the conference at 9am Eastern.
If you have any questions throughout the next two days, don't hesitate to ask us in the chat window of any session or to contact us at firstname.lastname@example.org.
Thanks for joining us!
Kristin Fontichiaro & Angie Oehrli, Conference Coordinators
DID YOU MISS PREVIOUS EMAILS? HERE IS THE INFO WE'VE SENT OUT PREVIOUSLY.
How can I access sessions?
Links have been posted to the conference's schedule page, where you'll find an abridged schedule at the top, followed by a link to a document with extended session descriptions. We ask that you not sign into a room until 15 minutes prior to a session.
What can I do between now and the conference?
- Add our project blog to your RSS reader. Weekly, we share articles and ideas that grab our team's attention as we delve deeper into time-efficient, high-impact data literacy strategies for high school educators.
- If you are registered with the Michigan Department of Education, check out the conference's SCECH page and learn more about how to get SCECH credits.
- Read School Library Journal's profile of the conference.
- Test your computer, tablet, or mobile device to make sure it is compatible with our presentation platform, Blackboard Collaborate by reading the instructions here.
- Encourage a friend to join you by forwarding this email or sending them a link to the registration page.
Here are some blogs we really enjoy about data and statistics:
- FiveThirtyEight.com - from forecasting election results to figuring out which percentage of the ESPN OJ Simpson documentary series contained archival footage, this is a great source for thoughtful analysis and great visualizations. Led by Nate Silver.
- Flowing Data - A blog on data visualization by Nathan Yau, whose book Data Points is one of our team's favorites. Lots of imaginative examples of visualizing anything from America's consumption of various foodstuffs to predictions of when you will, ummm, die. (Note: dying of boredom from our upcoming webinars is not an option.)
We look forward to seeing you soon! If you have any questions in the meantime, please email us at email@example.com.
This conference is free and organized by the University of Michigan School of Information and the University of Michigan Library with support from the University of Michigan School of Education. The conference is made possible in part by the Institute of Museum and Library Services RE-00-15-0113-15.
Adding Friction, a column @SLC
I hope you can join the Numeric and Spatial Data in Academic Libraries Interest Group at the annual conference. The agenda is below, but you will note that there is a space to add additional agenda items. We can do this on the spot, but advance notice will help me to allocate time. The formatting wasn't ideal when I pasted the text in, so I've also attached a Word document.
Safe travels to Orlando for all who are going.
ACRL Numeric and Spatial Data Services in Academic Libraries Interest Group
2016 ALA Annual Conference
Saturday, June 25, 4:30 – 5:30 pm
Orange County Convention Center, Room S321
- Welcome and introductions
- Additions to the agenda
- Appoint incoming convener for 2018-2019
- Interest group libguide: who should be our audience? What should be the content and scope? How will we develop and maintain it?
- Possible focus group at ALA Annual 2017 on overlap between numeric and GIS data and services (Bobray Bordelon)
- Possible program at ALA Annual 2018 on data literacy: how to interpret, evaluate and communicate statistical information (Brett Cloyd)
- Discussion of data literacy:
- How do you contribute to the data literacy of your users?
- What principles and practices of data literacy do you find yourself explaining most often?
- What training would you need in order to offer a larger range of data literacy services to your users, if any?
“What is Data Literacy?”: a definition from Adam Beauchamp (http://databrarians.org/2015/02/what-is-data-literacy/)
To paraphrase Gal and apply his definition to Cobb and Moore’s three phases of statistical analysis, the simplest definition of data literacy is the ability to interpret, evaluate, and communicate statistical information. Central to this ability is an understanding of how statistical information is created, encompassing data production, data analysis, and formal inference. In other words, data literacy includes the ability to evaluate the modes of data production, including the underlying research design and means of sampling, and how this impacts the possible findings. Data literacy also includes the ability to interpret the results of formal inference tests, including confidence intervals and the probability that findings are representative of a population rather than coincidental to the given sample. And finally, data literacy includes the ability to interpret and communicate about the descriptive statistics learners and citizens encounter everyday, from unemployment rates to political polling.
Cobb, George W. and David S. Moore. 1997. “Mathematics, Statistics, and Teaching.” The American Mathematical Monthly 104(9):801–23.
Gal, Iddo. 2002. “Adults’ Statistical Literacy: Meanings, Components, Responsibilities.”International Statistical Review 70(1):1–25.
This is the annual meeting of the Numeric and Geospatial Data Services in Academic Libraries Interest Group (Association of College and Research Libraries).
We will have a discussion focusing on marketing data management services following the presentation of our speaker, Regina Raboin, Science Research & Instruction Librarian from Tisch Library of Tufts University. Regina will share with us about 1) why/how Tisch Library launched DM services, 2) what the library has done to market them and grow them, and 3) what the library’s plans are for the future to sustain these services well.
Welcome to join us with your questions and share your experiences, no matter you are senior, new, or even future data services librarians.