Trends in data librarianship


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This is a copy of my presentation I did while interviewing for the position of Data Research Librarian at Florida State University.

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  • Factual records used as primary sources for research (Funari 2014)
    Data is a product as it’s a result of specific research (provide examples) and a source in the sense that it is an authoritative source for the pub. Being worked on as well as for the use of future research.
  • Discuss RDA during metadata point
  • Mention source and how it applies to more than just social science data mgmt.
    Include notes on data management plan
  • National Science Foundation requires all grant proposals to include a two page data management plan.
    National Institute of Health has a policy supporting data sharing which requires researchers applying for 500K or more per year to include a data-sharing plan or state why it isn’t possible (
  • Summarize the Federer article to explain what an Informationalist is. Essenitally, this is imbeded data librarianship
    Mention that they are active members of research teams.
  • Florida Data LibGuide:
    Mention BEBR?- Library could buy datasets and put behind authentication
    Mention that you saw Marcia’s Federal Data LibGuide
    Acquire datasets from legislative research and state agency reports.
  • Discuss components of a GIS?
  • Find data resources for subject librarians to put in their libguides
    Collaborative research consultations with subject experts for data intensive projects
  • Offer in-class instruction in stats and rsch methods courses. Most social sciences programs require courses of this type.
  • Trends in data librarianship

    1. 1. Current Trends in Data Librarianship and Ideas for Application in Research Libraries Renaine Julian March 13, 2014
    2. 2. Overview • Defining research data • Current trends in data librarianship • Data management and the data lifecycle • Issues in data librarianship • Applications for FSU Libraries
    3. 3. Research data defined • “Data are outputs of research, inputs to scholarly publications and inputs to subsequent research and learning” (Borgman 2007) • Data’s double role: – Product – Source
    4. 4. Trends in Data Librarianship • Data curation • Data management planning • Data collection and aggregation • Imbedded Librarianship
    5. 5. Data Curation • Data Types – Digital content from libraries – Administrative – Primary research data (Neubaer (2011) • Preserving primary data – Unique observations – Enhancing future research
    6. 6. Data management defined “the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.“ (Mosley 2007)
    7. 7. Data Lifecycle Block and Kramer (2010)
    8. 8. Data Management Plan • Basic Elements: 1. Types of data produced 2. Data and metadata standards 3. Policies for access and sharing 4. Policies for re-use and distribution Source: California Digital Library Data Management Planning Tool ( • Funding Requirements – National Science Foundation – National Institute of Health
    9. 9. Data Wranglers • Small Data vs. Big Data • Aggregating project and discipline specific resources • Finding the hard to find
    10. 10. An “Informationist” • Part of active research team • Combination of LIS and subject matter expertise • Roles – Advice on DM and Curation – Meta-analysis and systematic reviews – Biliometric and network analysis Federer (2013) Image source:
    11. 11. Access and Collaboration • Faculty Engagement – FSU Faculty – Other institutions • Open Access/Open Analysis • Data’s potential value Image Source:
    12. 12. Issues in Data Librarianship • Making faculty aware of data research services • Lack of expertise in LIS field • Librarians in competition • Possible pushback
    13. 13. Government Data • US Census – American Fact Finder – TIGER • Federal Government • State Agencies • Local Government Image Source: Florida Historic Capitol Museum: Photo Source: Photo Source: source: Photo Source:
    14. 14. GIS and Spatial Data • Interdisciplinary • From data to spatial data • Thematic and interactive mapping • FSU Spatial Data Repository Image Source: Tallahassee Leon County GIS ( Source:
    15. 15. The Libraries’ Data Expert • Subject librarians • Research Consultations • Library planning and programming
    16. 16. Instruction • Data Management • Research methods and statistics courses • Interdisciplinary GIS and spatial data consultation and instruction
    17. 17. Questions?
    18. 18. Works Cited Borgman, C.L. (2007) Scholarship in the Digital Age : Information, infrastructure, and the Internet. Cambridge, MA. : MIT Press Neubaer, W. (2011) Long-term Preservation of Research Data: Challenge and Opportunity for Academic Libraries in the future. International Conference on Library and Information Science Data Management Plan: Sample Plan Created at the DataONE Best Practices Workshop - Santa Fe NM 7/2011 Atmospheric CO2 Concentrations, Mauna Loa Observatory, Hawaii, 2011-2013 from: Mosley, M. (2007) DAMA-Data Management Body of Knowledge Introduction and Project Status. Retrieved from: Block, W.C. & Kramer, S. (2010) The Lifecycle of Social Science Research Data: Enabling Discovery through Metadata and Search Tools (PowerPoint slides). Retrieved from: Federer, L. (2013) The Librarian as a Research Informationist: A case study. Journal of the Medical Librarianship Association. 101(4)