SlideShare ist ein Scribd-Unternehmen logo
1 von 15
Embracing the Non-
Traditional?
Dorotea Szkolar
NA DigiTech Manager, GroupM
Computers & Libraries, 2014
Rise of Information and Innovation
Powered World
“The world produced 14.7 exabytes of new information in
2008, nearly triple the volume of information in 2003
“The flow of information exchanged via
telecommunications networks also almost doubled
between 2002 and 2008.”
(Bounie & Gille, 2012)
“The world's roughly 27 million computer
servers processed 9.57 zettabytes of
information in 2008”
(Short, Bohn & Baru, 2010)
Lots of Information & Stuff Knowledge
Communication & Sharing Productive
The Reality
The Answer is Librarians!
• Curate and enhance knowledge for a set
purpose
• Trained in classification, cataloguing, and
organization techniques.
• Opportunity to combine with technological
innovations in data and databases to build custom
digital libraries = profit.
Immense Value to industry:
• Eliminate information overload
• Organize information so can be quickly
comprehended.
• Build foundations of Information efficient
discovery
• Support learning
Match Made in Heaven?
– Librarians bring unique skills set centered on information management,
information organization and information access that can greatly improve
business practices and profitability.
– Skills used in both Traditional & Non-Traditional Positions
– Promote controlled vocabulary & standards to ensure long term data
consistency and quality
– Hierarchy and classification to promote discoverability
– Long and short term collection development
– User Outreach and Engagement
– Collaboration with fellow departments and agencies
– Assessment
– Analytics Reports and User Feedback
– Training
Foundations For Hacking Information
Overload
– Provide information foundation to “hack”
corporate information.
– Information platform to build initiatives upon; the
starting ingredient
– Link information to other databases
– Incorporate support for regional & global initiatives
– Executive Management
– Requires us listen and commit to community
– Even if unexpected
– Competitive advantage and long term value
Seeking Librarians!
Digital Universe Manager
Global Knowledge Manager
Big Data Information Designers
Senior Knowledge Management Specialist
 Ask specifically for BS in Library science
 61 Non-Librarian Jobs for LIS Grads
 INALJ- Non-Traditional Tag
 LinkedIn and the MLIS Job Search
Strong Disconnect!
MLIS bashed as worthless and
Librarianship a dying profession:
– Forbes: “No. 1 Worst Master's
Degree For Jobs: Library and
Information Science”
– Hiring Librarian: “Do not go to
library school. Librarianship is a
dying profession.”
Why the Disconnect?
Librarianship is Highly Specialized
• Stereotype of Dewey, Books and Hair
Buns.
• Bureau of Labor Statistics’ employment
projection data does not categorize and
include “non-traditional jobs
Librarianship”
• Employers rarely recognized non
traditional vs. traditional categorization:
o Create striking job titles to attract
talent and boast
– Stop Labels of “Untraditional” vs.
“Traditional”
– Eliminate hardline where librarianship ends and
begins
– Outside World Does not perceive such divisions, why
should we?
– As Information evolves, so will framework of our
profession
– True across all industries
– Embrace so recognized as part of modern librarianship
– No matter what you call it, skills are increasingly key
in innovative world
Create New Tradition of Librarianship
Questions?
Dorotea Szkolar
DigiTech Manager, GroupM
Dorotea.szkolar@groupm.com
@dorotaszkolar
Sources:
– Bounie, D., & Gille, L. (2012). International Production and Dissemination of
Information:Results, Methodological Issues, and Statistical Perspectives1. International Journal
of Communication, 1001–1021.
– Danah Boyd & Kate Crawford (2012) CRITICAL QUESTIONS FOR BIG DATA, Information,
Communication & Society, 15:5, 662-679, DOI: 10.1080/1369118X.2012.678878
– Press, G. (2013, May 9). A Very Short History Of Big Data. Retrieved from Forbes:
http://www.forbes.com/sites/gilpress/2013/05/09/a-very-short-history-of-big-data/
– Short, J. E., Bohn, R. E., & Baru, C. (2010). How Much Information? 2010 Report on Enterprise
Server Information. San Diego, CA. Retrieved from
http://hmi.ucsd.edu/pdf/HMI_2010_EnterpriseReport_Jan_2011.pdf
– Smith, J. (2012, June 8). The Best And Worst Master's Degrees For Jobs. Retrieved from Forbes:
http://www.forbes.com/sites/jacquelynsmith/2012/06/08/the-best-and-worst-masters-degrees-for-
jobs-2/
– Weak, E. (2014, January 24). Do not go to library school. Librarianship is a dying profession.
Retrieved from Hiring Librarians: http://hiringlibrarians.com/2014/01/14/do-not-go-to-library-
school-librarianship-is-a-dying-profession/
Picture Credits
– Slide 4: Dilenschneider, Colleen;Three Ways the Role of Your Website
Has Changed. Is your Nonprofit Keeping Up?:
http://colleendilen.com/category/technology/
– Slide 5: Jon, Librarians; The original Search Engine:
http://www.thecampuscompanion.com/2012/05/29/librarians-original-
search-engine/librarian-the-original-search-engine/#.Uy9JdJ3D_IU
– Slide 8: Wordpress Blog, Aimless,
http://hopeseguin2011.wordpress.com/2011/04/12/national-library-week/
– Slide 9: Lin, Annie; DigiTech Intern, Pictures of New York Public Library
taken on 3/31/2014
A WPP Company

Weitere ähnliche Inhalte

Was ist angesagt?

Big data
Big dataBig data
Big data
Claire Choong
 

Was ist angesagt? (20)

Tim Estes - Information Systems in an Entity Centric World
Tim Estes - Information Systems in an Entity Centric WorldTim Estes - Information Systems in an Entity Centric World
Tim Estes - Information Systems in an Entity Centric World
 
Using cognitive computing to better analyze human communication
Using cognitive computing to better analyze human communicationUsing cognitive computing to better analyze human communication
Using cognitive computing to better analyze human communication
 
Building a data fluent organization
Building a data fluent organizationBuilding a data fluent organization
Building a data fluent organization
 
Big data
Big dataBig data
Big data
 
Data Science Overview
Data Science OverviewData Science Overview
Data Science Overview
 
Got Chaos? Extracting Business Intelligence from Email with Natural Language ...
Got Chaos? Extracting Business Intelligence from Email with Natural Language ...Got Chaos? Extracting Business Intelligence from Email with Natural Language ...
Got Chaos? Extracting Business Intelligence from Email with Natural Language ...
 
SocCnx11 - Social Analytics - Why Your Biggest Goldmine Is (Probably) Untapped
SocCnx11 - Social Analytics - Why Your Biggest Goldmine Is (Probably) UntappedSocCnx11 - Social Analytics - Why Your Biggest Goldmine Is (Probably) Untapped
SocCnx11 - Social Analytics - Why Your Biggest Goldmine Is (Probably) Untapped
 
Big data as a gateway to knowledge management
Big data as a gateway to knowledge managementBig data as a gateway to knowledge management
Big data as a gateway to knowledge management
 
Data literacy
Data literacyData literacy
Data literacy
 
Conforming to Destiny or Adapting to Circumstance: The State of Cataloging in...
Conforming to Destiny or Adapting to Circumstance: The State of Cataloging in...Conforming to Destiny or Adapting to Circumstance: The State of Cataloging in...
Conforming to Destiny or Adapting to Circumstance: The State of Cataloging in...
 
The Vital Role of Information in Workplace Collaboration
The Vital Role of Information in Workplace CollaborationThe Vital Role of Information in Workplace Collaboration
The Vital Role of Information in Workplace Collaboration
 
Data Management vs Data Strategy
Data Management vs Data StrategyData Management vs Data Strategy
Data Management vs Data Strategy
 
Data Governance vs. Information Governance
Data Governance vs. Information GovernanceData Governance vs. Information Governance
Data Governance vs. Information Governance
 
Big Data Content Organization, Discovery, and Management
Big Data Content Organization, Discovery, and ManagementBig Data Content Organization, Discovery, and Management
Big Data Content Organization, Discovery, and Management
 
The future of bi isn't a bi tool
The future of bi isn't a bi toolThe future of bi isn't a bi tool
The future of bi isn't a bi tool
 
Data-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and HadoopData-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and Hadoop
 
Trends in Enterprise Advanced Analytics
Trends in Enterprise Advanced AnalyticsTrends in Enterprise Advanced Analytics
Trends in Enterprise Advanced Analytics
 
Publising Data on the Web
Publising Data on the WebPublising Data on the Web
Publising Data on the Web
 
Essential Metadata Strategies
Essential Metadata StrategiesEssential Metadata Strategies
Essential Metadata Strategies
 
DataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance ProgramsDataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance Programs
 

Andere mochten auch (7)

124 177
124 177124 177
124 177
 
Exam module 2
Exam module 2Exam module 2
Exam module 2
 
Advertising with Paided URL Inclusion
Advertising with Paided URL InclusionAdvertising with Paided URL Inclusion
Advertising with Paided URL Inclusion
 
Seminario prĂłtesis removible
Seminario prĂłtesis removibleSeminario prĂłtesis removible
Seminario prĂłtesis removible
 
Guia 8
Guia 8Guia 8
Guia 8
 
Consideraciones al tallado
Consideraciones al talladoConsideraciones al tallado
Consideraciones al tallado
 
AnĂĄlisis de diente pilar - ClĂ­nica Integral de Adulto
AnĂĄlisis de diente pilar - ClĂ­nica Integral de AdultoAnĂĄlisis de diente pilar - ClĂ­nica Integral de Adulto
AnĂĄlisis de diente pilar - ClĂ­nica Integral de Adulto
 

Ähnlich wie Embracing the non traditional

Career in Data Science (July 2017, DTLA)
Career in Data Science (July 2017, DTLA)Career in Data Science (July 2017, DTLA)
Career in Data Science (July 2017, DTLA)
Thinkful
 
Misceb intro2014
Misceb intro2014Misceb intro2014
Misceb intro2014
Lee Schlenker
 

Ähnlich wie Embracing the non traditional (20)

Data driven innovation for education
Data driven innovation for education Data driven innovation for education
Data driven innovation for education
 
Getting Started in Data Science
Getting Started in Data ScienceGetting Started in Data Science
Getting Started in Data Science
 
Career in Data Science (July 2017, DTLA)
Career in Data Science (July 2017, DTLA)Career in Data Science (July 2017, DTLA)
Career in Data Science (July 2017, DTLA)
 
Big data and education 2015 leon
Big data and education 2015   leonBig data and education 2015   leon
Big data and education 2015 leon
 
SLA RGC Universe
SLA RGC Universe SLA RGC Universe
SLA RGC Universe
 
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
 
Sentara Linked Data Workshop - Sept 10, 2012
Sentara Linked Data Workshop - Sept 10, 2012Sentara Linked Data Workshop - Sept 10, 2012
Sentara Linked Data Workshop - Sept 10, 2012
 
New Roles / New Rules: Information Professionals in Research Data Manageme…
New Roles / New Rules: Information Professionals in Research Data Manageme…New Roles / New Rules: Information Professionals in Research Data Manageme…
New Roles / New Rules: Information Professionals in Research Data Manageme…
 
Partnering for Research Data
Partnering for Research DataPartnering for Research Data
Partnering for Research Data
 
UCL & IoE Libraries - Research Data Management - 22/10/14
UCL & IoE Libraries - Research Data Management - 22/10/14UCL & IoE Libraries - Research Data Management - 22/10/14
UCL & IoE Libraries - Research Data Management - 22/10/14
 
Bigdata culture landsacpe
Bigdata   culture landsacpeBigdata   culture landsacpe
Bigdata culture landsacpe
 
Misceb intro2014
Misceb intro2014Misceb intro2014
Misceb intro2014
 
Eric van Heck - Congres 'Data gedreven Beleidsontwikkeling'
Eric van Heck - Congres 'Data gedreven Beleidsontwikkeling'Eric van Heck - Congres 'Data gedreven Beleidsontwikkeling'
Eric van Heck - Congres 'Data gedreven Beleidsontwikkeling'
 
Data-Ed Webinar: A Framework for Implementing NoSQL, Hadoop
Data-Ed Webinar: A Framework for Implementing NoSQL, HadoopData-Ed Webinar: A Framework for Implementing NoSQL, Hadoop
Data-Ed Webinar: A Framework for Implementing NoSQL, Hadoop
 
Getting started in Data Science (April 2017, Los Angeles)
Getting started in Data Science (April 2017, Los Angeles)Getting started in Data Science (April 2017, Los Angeles)
Getting started in Data Science (April 2017, Los Angeles)
 
Intro to Data Science
Intro to Data ScienceIntro to Data Science
Intro to Data Science
 
BigData-Challenges.pptx
BigData-Challenges.pptxBigData-Challenges.pptx
BigData-Challenges.pptx
 
Lyon-data publishing challenges-nfdp13
Lyon-data publishing challenges-nfdp13Lyon-data publishing challenges-nfdp13
Lyon-data publishing challenges-nfdp13
 
Big Data RF
Big Data RFBig Data RF
Big Data RF
 
WORLD CAT AS BIG DATA
WORLD CAT AS  BIG DATAWORLD CAT AS  BIG DATA
WORLD CAT AS BIG DATA
 

KĂźrzlich hochgeladen

Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
JohnnyPlasten
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
shambhavirathore45
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
Lars Albertsson
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
shivangimorya083
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
amitlee9823
 

KĂźrzlich hochgeladen (20)

Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptx
 
Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort ServiceBDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
BDSM⚡Call Girls in Mandawali Delhi >༒8448380779 Escort Service
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Research
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
 

Embracing the non traditional

  • 1. Embracing the Non- Traditional? Dorotea Szkolar NA DigiTech Manager, GroupM Computers & Libraries, 2014
  • 2. Rise of Information and Innovation Powered World “The world produced 14.7 exabytes of new information in 2008, nearly triple the volume of information in 2003 “The flow of information exchanged via telecommunications networks also almost doubled between 2002 and 2008.” (Bounie & Gille, 2012) “The world's roughly 27 million computer servers processed 9.57 zettabytes of information in 2008” (Short, Bohn & Baru, 2010)
  • 3. Lots of Information & Stuff Knowledge Communication & Sharing Productive
  • 5. The Answer is Librarians! • Curate and enhance knowledge for a set purpose • Trained in classification, cataloguing, and organization techniques. • Opportunity to combine with technological innovations in data and databases to build custom digital libraries = profit. Immense Value to industry: • Eliminate information overload • Organize information so can be quickly comprehended. • Build foundations of Information efficient discovery • Support learning
  • 6. Match Made in Heaven? – Librarians bring unique skills set centered on information management, information organization and information access that can greatly improve business practices and profitability. – Skills used in both Traditional & Non-Traditional Positions – Promote controlled vocabulary & standards to ensure long term data consistency and quality – Hierarchy and classification to promote discoverability – Long and short term collection development – User Outreach and Engagement – Collaboration with fellow departments and agencies – Assessment – Analytics Reports and User Feedback – Training
  • 7. Foundations For Hacking Information Overload – Provide information foundation to “hack” corporate information. – Information platform to build initiatives upon; the starting ingredient – Link information to other databases – Incorporate support for regional & global initiatives – Executive Management – Requires us listen and commit to community – Even if unexpected – Competitive advantage and long term value
  • 8. Seeking Librarians! Digital Universe Manager Global Knowledge Manager Big Data Information Designers Senior Knowledge Management Specialist  Ask specifically for BS in Library science  61 Non-Librarian Jobs for LIS Grads  INALJ- Non-Traditional Tag  LinkedIn and the MLIS Job Search
  • 9. Strong Disconnect! MLIS bashed as worthless and Librarianship a dying profession: – Forbes: “No. 1 Worst Master's Degree For Jobs: Library and Information Science” – Hiring Librarian: “Do not go to library school. Librarianship is a dying profession.”
  • 10. Why the Disconnect? Librarianship is Highly Specialized • Stereotype of Dewey, Books and Hair Buns. • Bureau of Labor Statistics’ employment projection data does not categorize and include “non-traditional jobs Librarianship” • Employers rarely recognized non traditional vs. traditional categorization: o Create striking job titles to attract talent and boast
  • 11. – Stop Labels of “Untraditional” vs. “Traditional” – Eliminate hardline where librarianship ends and begins – Outside World Does not perceive such divisions, why should we? – As Information evolves, so will framework of our profession – True across all industries – Embrace so recognized as part of modern librarianship – No matter what you call it, skills are increasingly key in innovative world Create New Tradition of Librarianship
  • 12. Questions? Dorotea Szkolar DigiTech Manager, GroupM Dorotea.szkolar@groupm.com @dorotaszkolar
  • 13. Sources: – Bounie, D., & Gille, L. (2012). International Production and Dissemination of Information:Results, Methodological Issues, and Statistical Perspectives1. International Journal of Communication, 1001–1021. – Danah Boyd & Kate Crawford (2012) CRITICAL QUESTIONS FOR BIG DATA, Information, Communication & Society, 15:5, 662-679, DOI: 10.1080/1369118X.2012.678878 – Press, G. (2013, May 9). A Very Short History Of Big Data. Retrieved from Forbes: http://www.forbes.com/sites/gilpress/2013/05/09/a-very-short-history-of-big-data/ – Short, J. E., Bohn, R. E., & Baru, C. (2010). How Much Information? 2010 Report on Enterprise Server Information. San Diego, CA. Retrieved from http://hmi.ucsd.edu/pdf/HMI_2010_EnterpriseReport_Jan_2011.pdf – Smith, J. (2012, June 8). The Best And Worst Master's Degrees For Jobs. Retrieved from Forbes: http://www.forbes.com/sites/jacquelynsmith/2012/06/08/the-best-and-worst-masters-degrees-for- jobs-2/ – Weak, E. (2014, January 24). Do not go to library school. Librarianship is a dying profession. Retrieved from Hiring Librarians: http://hiringlibrarians.com/2014/01/14/do-not-go-to-library- school-librarianship-is-a-dying-profession/
  • 14. Picture Credits – Slide 4: Dilenschneider, Colleen;Three Ways the Role of Your Website Has Changed. Is your Nonprofit Keeping Up?: http://colleendilen.com/category/technology/ – Slide 5: Jon, Librarians; The original Search Engine: http://www.thecampuscompanion.com/2012/05/29/librarians-original- search-engine/librarian-the-original-search-engine/#.Uy9JdJ3D_IU – Slide 8: Wordpress Blog, Aimless, http://hopeseguin2011.wordpress.com/2011/04/12/national-library-week/ – Slide 9: Lin, Annie; DigiTech Intern, Pictures of New York Public Library taken on 3/31/2014

Hinweis der Redaktion

  1. We’ve been around this block, know how to organize it so it had order and clarity for a set purpose.
  2. Despite being a professional information degree in an explosive information age with increasing need for organization and access,
  3. The way it is categorized and labeled matters