Improving Data Literacy: Panel Discussion on Data Access, Storage, Retrieval and Instruction Issues

1
Improving Data Literacy Panel Discussion on Data
Access, Storage, Retrieval and Instruction Issues
Presented byMichael Howser, Joe Salem, Aaron
Shrimplin, and Jen-chien Yu

• Academic Library Association of Ohio30th Annual
  Conference, November 12, 2004

2
Data Storage Issues

• Server versus local data storage
• Access restrictions?
• Data formats available
• Numeric and Geospatial Data Should these be
  stored separately?

3
Data Access

• Who should have access?
• Login versus unrestricted access
• CDs, local machine, or network access
• Numeric Data access issues
• Geospatial Data access issues

4
Geospatial Data Access, Storage and Literacy

• Presented by Michael HowserMiami University

5
Geospatial Literacy

• What is geospatial literacy?
• Geographic Literacy and Geographic Information
  Systems (GIS) along with spatial data are all
  components.
• Libraries Role in promoting geospatial literacy?

6
Geospatial Literacy in an Information Literacy
Course

• IMS 201 Information Studies in the Digital Age
• Learning objectives
• Introduce basics of geospatial data
• Utilize ESRIs ArcGIS software to display
  geospatial data.
• Utilize GIS software to analyze real-world
  problems.

7
Miami University Libraries and Geospatial Literacy

• Beyond the IMS 201 course geospatial literacy
  promotion includes
• Technology and Information Management Workshops
• ESRI Virtual Campus access
• GIS instruction (individual or group)

8
ESRI Virtual Campus
9
Numeric Data Access, Storage and Literacy

• Presented by Jen-chien YuMiami University

10
Data Literacy in a Information Literacy Course

• Lecture Finding, Using and Evaluating Numeric
  Data (1 hour and 15 minutes). Incorporated as a
  module in librarys Information Literacy Course
  Information Studies in the Digital Age.
• Learning Objectives -
• Understand numeric data What it is and how it
  is used for study and research
• Steps of finding data
• How to evaluate data
• Familiarize with the data resources that are
  available to them
• The lecture consisted of a brief instruction,
  class discussion, and a in-class exercise at the
  end.

11
Student Feedback Please list 3 of the most
helpful things that you learn

• Learned where to obtain information online that
  can be useful in other classes. Learned not to
  believe every piece of statistical data that I
  read online.
• Existence of survey and poll data, Where to
  find surveys
• Learned how to find out more detailed info. from
  the census data., Census information can be
  useful for research.
• Power of the search programs, ease of search,
  search ability
• Exporting tables to Excel, LexisNexis searching,
  and data location

12
Challenge

• I already knew this stuff the challenge of
  promoting data literacy in an interdisciplinary
  course
• Solution Relate the lecture to their lives
  use current issues or local facts as examples
• Not sure how to apply the knowledge learned
  today the challenge of making connection
  between learning and practice
• Solution Hands-on exercises. Make sure that
  the data literacy lecture fits in the instruction
  and goals of the main information literacy course
• How can we reach a greater audience?
• Solution - ???

13
Links

• Finding, Evaluating and Using Numeric Data
  (PowerPoint Presentation)
• http//www.users.muohio.edu/yuj/ims201.ppt
• In-class Exercise
• http//elearn.lib.muohio.edu/jyu/datalit/exercis
  es.htm
• Data Literacy Class Resources
• http//edc.lib.muohio.edu/ims201.php

14
Working Data Literacy into Information Literacy
Programs

• Joseph A. Salem, Jr.
• Kent State University

15
Program Integration

• Issues
• Approaches
• Early successes

16
Issues

• Standards and learning outcomes
• Focus of information literacy program
• Assessment

17
Approaches

• Promote data analysis in the curriculum
• Curriculum-integrated
• Course-specific sessions
• Stand-alone sessions

18
Early Successes

• Data analysis in the curriculum
• College of Nursing project
• Stand alone instruction
• Introduction to Data Analysis through ICPSR
• Mapping Census Data

19
(No Transcript)