NOTE: A resource list is in the notes section on the last slide. To view, please download the presentation. Session description: In order to properly advocate for your library, you need to understand the impact of your services. As you assess the impact of your services, you have the opportunity to collect large amounts of complex data. This raises questions about what data is collected, how it is stored, and how it is used for advocacy. This session will go over the basics of ”Big Data” and “Data Science” in order to discuss how those concepts can be used in libraries of all types. Learning outcomes: Session participants can expect to learn the following: General understanding of Big Data and Data Science Relationship between these concepts and the work/skills of library staff Application of these concepts to your organizations, including analyzing large amounts of complex data for advocacy

1. Curating Library Data,
Big Data, Data Sets
(Using Big Data for Library Advocacy)
Erin Bartolo Jill Hurst-Wahl
@ErinBartolo @Jill_HW
Sept. 27, 2013

2. THEPOTENTIALREALIZED
ANEXAMPLE

3. “Many people are presently comfortable with
sharing large amounts of personal information
online through social networks or online activity
tracking systems.”
People want to know the impact of their sharing
and be able to control how their information is
used.
INSIGHTS FROM THE IFLA TRENDS
REPORT

4. THE FULL DATA LIFE CYCLE

5. The 3 V‟s
 Volume (how much)
 Velocity (how fast)
 Variety (how complex)
 Data complexity
State of the data
HOW IS BIG DATA DIFFERENT

6. McKinsey Global Institute report
140,000-190,000 people lack analytical skills
1.5M managers lack ability to use big data
Big opportunities. Big challenges.
BIG DATA SKILLS GAP
https://www.facebook.com/note.php?note_id=469716398919

7. TYPES OF DATA

8. Challenges & opportunities
Personalization in consumer experience
Predictive analytics in defense
Supply chain management
Retail or emergency planning
ACROSS INDUSTRIES

9. The Renaissance approach
Facts not hunches
Evidence based research
Data driven decision making
Breaking down silos
Adaptability
Data mashups across information sources
Data storytelling
SEPARATING OPPORTUNITY FROM HYPE

10. Grow talent from within
Easier to change course
SMALL ORGANIZATIONS BENEFIT, TOO
http://www.hightech-highway.com/virtualize/six-ways-to-use-virtualization-in-your-
small-business/

11. DATA SCIENCE & LIS

12. Collect
Organize
Store
Curate
Manage
LIBRAR* & DATA SKILLS
http://tweetping.net/
 Analyze
 Report
 Visualize
 Secure

13. Use the tools and techniques
being used by government
and business
House data for researchers
Use data to advocate for
ourselves and our
communities
LIBRARIES CAN…
http://hint.fm/wind/

14. Circulation data
Transaction data
Gate counts
Data on event attendance
Data from your web site
Survey data
Collection data
Postal code
Gender
Language
Last activity
Circulation count
Branch use
Computer use
OUR DATA: WE HAVE

15. “Storytelling”
Visualize usage patterns
Determine influences
Propose policy changes
Improve services planning
Drive data-based decisions
Make content discoverable
Assess current services
Discern the correct questions
OUR DATA: POTENTIAL USES

16. Data has your back
What are you advocating for?
How can you collect data to support that effort?
You can‟t collect at the last minute!
Plan…implement…analyze…use.
BIG DATA & ADVOCACY

17. PRIVACY &
THE USA PATRIOT ACT

18. Originally passed in 2001. Extended in 2011.
Four Year extension of three provision including
searches of business records.
“Section 215 orders for tangible things,
commonly referred to as the „library records‟
provision.” [Senator Leahy]
Two thoughts:
Privacy vs. better service
Info on individuals vs. aggregated info
THE USA PATRIOT ACT
www.flickr.com/photos/surreynews/6943531691/

19. Erin Bartolo
Data Science Program
Manager
ebartolo@syr.edu
(315) 443-3777
@ErinBartolo
Jill Hurst-Wahl
Director, LIS and School
Media Programs
jahurst@syr.edu
(315) 443-1070
@Jill_HW