curating library data, big data, data sets

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

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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

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Page 1: Curating Library Data, Big Data, Data Sets

Curating Library Data, Big Data, Data Sets

(Using Big Data for Library Advocacy)

Erin Bartolo Jill Hurst-Wahl@ErinBartolo @Jill_HW

Sept. 27, 2013

Page 2: Curating Library Data, Big Data, Data Sets

THE POTENTIAL REALIZED AN EXAMPLE

Page 3: Curating Library Data, Big Data, Data Sets

“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

Page 4: Curating Library Data, Big Data, Data Sets

THE FULL DATA LIFE CYCLE

Page 5: Curating Library Data, Big Data, Data Sets

The 3 V’sVolume (how much)Velocity (how fast)Variety (how complex)

Data complexity

State of the data

HOW IS BIG DATA DIFFERENT

Page 6: Curating Library Data, Big Data, Data Sets

McKinsey Global Institute report140,000-190,000 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

Page 7: Curating Library Data, Big Data, Data Sets

TYPES OF DATA

Page 8: Curating Library Data, Big Data, Data Sets

Challenges & opportunities Personalization in consumer experiencePredictive analytics in defenseSupply chain management

Retail or emergency planning

ACROSS INDUSTRIES

Page 9: Curating Library Data, Big Data, Data Sets

The Renaissance approachFacts not hunchesEvidence based researchData driven decision makingBreaking down silosAdaptabilityData mashups across information sources

Data storytelling

SEPARATING OPPORTUNITY FROM HYPE

Page 10: Curating Library Data, Big Data, Data Sets

Grow talent from withinEasier to change course

SMALL ORGANIZATIONS BENEFIT, TOO

http://www.hightech-highway.com/virtualize/six-ways-to-use-virtualization-in-your-small-business/

Page 11: Curating Library Data, Big Data, Data Sets

DATA SCIENCE & LIS

Page 12: Curating Library Data, Big Data, Data Sets

CollectOrganizeStoreCurate

Manage

LIBRAR* & DATA SKILLShttp

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Analyze

Report

Visualize

Secure

Page 13: Curating Library Data, Big Data, Data Sets

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…

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Page 14: Curating Library Data, Big Data, Data Sets

Circulation dataTransaction dataGate countsData on event

attendanceData from your web

siteSurvey dataCollection data

Postal codeGenderLanguageLast activityCirculation countBranch useComputer use

OUR DATA: WE HAVE

Page 15: Curating Library Data, Big Data, Data Sets

“Storytelling”Visualize usage patternsDetermine influencesPropose policy changesImprove services planningDrive data-based decisionsMake content discoverableAssess current servicesDiscern the correct questions

OUR DATA: POTENTIAL USES

Page 16: Curating Library Data, Big Data, Data Sets

Data has your backWhat 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

Page 17: Curating Library Data, Big Data, Data Sets

PRIVACY & THE USA PATRIOT

ACT

Page 18: Curating Library Data, Big Data, Data Sets

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/

Page 19: Curating Library Data, Big Data, Data Sets

Erin BartoloData Science Program Manager [email protected](315) 443-3777 @ErinBartolo

Jill Hurst-WahlDirector, LIS and School Media [email protected](315) 443-1070@Jill_HW