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Curating Library Data,
Big Data, Data Sets
(Using Big Data for Library Advocacy)
Erin Bartolo Jill Hurst-Wahl
@ErinBartolo...
THEPOTENTIALREALIZED
ANEXAMPLE
“Many people are presently comfortable with
sharing large amounts of personal information
online through social networks o...
THE FULL DATA LIFE CYCLE
The 3 V‟s
 Volume (how much)
 Velocity (how fast)
 Variety (how complex)
 Data complexity
State of the data
HOW IS B...
McKinsey Global Institute report
140,000-190,000 people lack analytical skills
1.5M managers lack ability to use big da...
TYPES OF DATA
Challenges & opportunities
Personalization in consumer experience
Predictive analytics in defense
Supply chain managem...
The Renaissance approach
Facts not hunches
Evidence based research
Data driven decision making
Breaking down silos
A...
Grow talent from within
Easier to change course
SMALL ORGANIZATIONS BENEFIT, TOO
http://www.hightech-highway.com/virtual...
DATA SCIENCE & LIS
Collect
Organize
Store
Curate
Manage
LIBRAR* & DATA SKILLS
http://tweetping.net/
 Analyze
 Report
 Visualize
 Sec...
Use the tools and techniques
being used by government
and business
House data for researchers
Use data to advocate for
...
Circulation data
Transaction data
Gate counts
Data on event attendance
Data from your web site
Survey data
Collecti...
“Storytelling”
Visualize usage patterns
Determine influences
Propose policy changes
Improve services planning
Drive ...
Data has your back
What are you advocating for?
How can you collect data to support that effort?
You can‟t collect at ...
PRIVACY &
THE USA PATRIOT ACT
Originally passed in 2001. Extended in 2011.
Four Year extension of three provision including
searches of business recor...
Erin Bartolo
Data Science Program
Manager
ebartolo@syr.edu
(315) 443-3777
@ErinBartolo
Jill Hurst-Wahl
Director, LIS and S...
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Curating Library Data, Big Data, Data Sets

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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

Published in: Education, Technology
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Curating Library Data, Big Data, Data Sets

  1. 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. 2. THEPOTENTIALREALIZED ANEXAMPLE
  3. 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. 4. THE FULL DATA LIFE CYCLE
  5. 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. 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. 7. TYPES OF DATA
  8. 8. Challenges & opportunities Personalization in consumer experience Predictive analytics in defense Supply chain management Retail or emergency planning ACROSS INDUSTRIES
  9. 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. 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. 11. DATA SCIENCE & LIS
  12. 12. Collect Organize Store Curate Manage LIBRAR* & DATA SKILLS http://tweetping.net/  Analyze  Report  Visualize  Secure
  13. 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. 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. 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. 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. 17. PRIVACY & THE USA PATRIOT ACT
  18. 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. 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

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