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Swimming Upstream
Lisa Zilinski
October 24, 2012
Agenda
  I.     Introduction
  II.    Challenges to Working Upstream
         A.   Knowledge & Experience
         B.   Institution/Organization
         C.   Data Authors
  III.   Engaging with Domain Researchers
         A.   Core Competencies for Data Information Literacy
         B.   Addressing Core Competencies
         C.   Talking to Faculty
  IV.    Conclusion
  V.     Q&A
“The big bang of the web is still expanding in all directions
   with increasingly complex and fruitful implications for libraries
   as organizations whose ultimate mission is not to keep, but to
   share knowledge.”




Data Curation and Libraries (2010) Anna Gold
Challenges to Working Upstream




   • Knowledge & Experience
   • Institution/Organization
   • Data Authors
Knowledge & Experience

  •   Lack of knowledge of data needs
  •   Lack of common terminology
  •   Combination of library and technology knowledge required
  •   No previous research experience
  •   Lack of data management/curation expertise
  •   Lack of Copyright and IP knowledge
Institution/Organization




  •   Data deluge
  •   No common research agenda on campus
  •   Lack of resources
  •   Relationships
  •   Lack of library leadership support
  •   Silo mentality
  •   Need to shift from content- to service-providing approach
Data Authors


     •   Grad students
     •   Perception of library as product managers
     •   Time
     •   No value to others
     •   Data citations
Workshop - Engaging with Domain Researchers



   • Core Competencies for Data Information Literacy
   • Addressing Core Competencies
   • Talking to Faculty
Core Competencies for Data Information Literacy

  •   Introduction to Databases and Data Formats
  •   Discovery and Acquisition of Data
  •   Data Management and Organization
  •   Data Conversion and Interoperability
  •   Quality Assurance
  •   Metadata
  •   Data Curation and Re-use
  •   Cultures of Practice
  •   Data Preservation
  •   Data Analysis
  •   Data Visualization
  •   Data Ethics        Determining Data Information Literacy Needs (2011) Jacob
                               Carlson, Michael Fosmire, C.C. Miller, Megan Sapp Nelson
Part I – Addressing Core Competencies

     • Defining and Understanding Data Concepts
       • Research Data
       • Data Sets
       • Data Lifecycle
       • Data Curation
       • Data Sharing
     • Current Trends and Best Practices
     • Author Rights, Copyright Legislation and IP Issues
     • Research Impact Factors and Performance Indicators
     • Data Management Software and Technologies
     • Synthesis and Analysis of Information


  Demystifying the Data Interview (2011) Jake Carlson
  Re-skilling for Research (2012) Mary Auckland
Part II – Talking to Faculty

     •   Developing Strategies to Talk with Faculty
     •   Increase Access to Publicly-Funded Research
     •   Author Rights
     •   Scholarly Societies in Knowledge Exchange
     •   Peer Review
     •   New Models in Scholarly Communication




  Library Brown Bag Lunch Series on Faculty Outreach (2008) ARL
Questions
Lisa Zilinski
University of South Florida
lzilinski@usf.edu

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Swimming upstream

  • 2. Agenda I. Introduction II. Challenges to Working Upstream A. Knowledge & Experience B. Institution/Organization C. Data Authors III. Engaging with Domain Researchers A. Core Competencies for Data Information Literacy B. Addressing Core Competencies C. Talking to Faculty IV. Conclusion V. Q&A
  • 3. “The big bang of the web is still expanding in all directions with increasingly complex and fruitful implications for libraries as organizations whose ultimate mission is not to keep, but to share knowledge.” Data Curation and Libraries (2010) Anna Gold
  • 4. Challenges to Working Upstream • Knowledge & Experience • Institution/Organization • Data Authors
  • 5. Knowledge & Experience • Lack of knowledge of data needs • Lack of common terminology • Combination of library and technology knowledge required • No previous research experience • Lack of data management/curation expertise • Lack of Copyright and IP knowledge
  • 6. Institution/Organization • Data deluge • No common research agenda on campus • Lack of resources • Relationships • Lack of library leadership support • Silo mentality • Need to shift from content- to service-providing approach
  • 7. Data Authors • Grad students • Perception of library as product managers • Time • No value to others • Data citations
  • 8. Workshop - Engaging with Domain Researchers • Core Competencies for Data Information Literacy • Addressing Core Competencies • Talking to Faculty
  • 9. Core Competencies for Data Information Literacy • Introduction to Databases and Data Formats • Discovery and Acquisition of Data • Data Management and Organization • Data Conversion and Interoperability • Quality Assurance • Metadata • Data Curation and Re-use • Cultures of Practice • Data Preservation • Data Analysis • Data Visualization • Data Ethics Determining Data Information Literacy Needs (2011) Jacob Carlson, Michael Fosmire, C.C. Miller, Megan Sapp Nelson
  • 10. Part I – Addressing Core Competencies • Defining and Understanding Data Concepts • Research Data • Data Sets • Data Lifecycle • Data Curation • Data Sharing • Current Trends and Best Practices • Author Rights, Copyright Legislation and IP Issues • Research Impact Factors and Performance Indicators • Data Management Software and Technologies • Synthesis and Analysis of Information Demystifying the Data Interview (2011) Jake Carlson Re-skilling for Research (2012) Mary Auckland
  • 11. Part II – Talking to Faculty • Developing Strategies to Talk with Faculty • Increase Access to Publicly-Funded Research • Author Rights • Scholarly Societies in Knowledge Exchange • Peer Review • New Models in Scholarly Communication Library Brown Bag Lunch Series on Faculty Outreach (2008) ARL
  • 12. Questions Lisa Zilinski University of South Florida lzilinski@usf.edu

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