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Data curation in academic libraries

Ali Fenlon
February 13, 2014

Data curation in academic libraries

Challenges and opportunities

Ali Fenlon

February 13, 2014
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  1. "the active and ongoing management of data through its lifecycle

    of interest and usefulness to scholarship, science, and education" — Cragin et al., 2007
  2. TYPES OF DATA Observational sensor, survey data Experimental sequence databases

    Media image, audio, video Simulation climate, model data Derived text/data mining, compiled databases
  3. FORMATS OF DATA Documents PDF, TXT, Word, TeX Media JPEG,

    PNG, TIFF, MP3, AVI Numerical SPSS, XLS, CSV, SQL Processing R, MATLAB Domain-specific FITS (astronomy), MusicXML
  4. WHO HAS DATA Library and librarians Faculty Students Researchers from

    other institutions Researchers from the public Publishers and data providers
  5. WHAT THEY DO WITH IT the continued ability to ACCESS,

    ANALYZE, and SHARE data is made possible by data curation methods and tools
  6. Organize and annotate Promote and support Consult and advise Preserve

    and manage DATA CURATION IN ACADEMIC LIBRARIES
  7. CHALLENGES IN PROVIDING DATA CURATION SERVICES (1)  Raise awareness (2) 

    Promote understanding (3)  Build skills and knowledge
  8. CHALLENGE 1: AWARENESS "the viability of data over the longer

    term depends on awareness" — Lord, 2004
  9. CHALLENGE 2: UNDERSTANDING Faculty who have a data preservation plan

    in place, distributed according to their belief in the importance of such plans Scaramozzino et al., 2012 10.3 0 4.4 0 13.2 12.5 20.6 25 51.5 62.5 0 10 20 30 40 50 60 70 Important Not important I believe it is important to have a data preservation plan Always Frequently Occasionally Rarely Never
  10. "participants have shown a need for resources to guide data

    curators in working with digital humanities data" — Senseney et al., 2014 70 30 Participant satisfaction with training received at the Digital Humanities Data Curation Workshop Very satisfied Satisfied Somewhat satisfied Neutral Somewhat dissatisfied Very dissatisfied 10 10 80 Participants who will recommend a Digital Humanities Data Curation Workshop to a colleague Definitely will not Probably will not Don't know Probably will Definitely will
  11. CHALLENGE 3: BUILDING SKILLS …starts within the library …requires partnership

    with domain experts …so that librarians are present and involved in all stages of a research project
  12. Design research, plan data management, collect data and capture metadata

    Digitize, transcribe, validate, clean, describe, manage and store data Interpret, derive, publish, prepare for preservation Create data Process Appraise Preserve Access Re-use Follow-up research, new research, validate findings, teach and learn Distribute, share, control access, establish copyright, promote data Format migration, back-up and store, create metadata and documentation , archive data Research Data Lifecycle, UK Data Archive
  13. CONCLUSION Challenges •  Awareness •  Understanding •  Building skills Opportunities

    •  Better research •  Support for collaboration and access •  Preservation to support data validation and reuse
  14. QUESTIONS? Cragin, M. H., Heidorn, P. B., Palmer, C. L.,

    & Smith, L. C. (2007). An Educational Program on Data Curation. Presented at the American Library Association Conference, Washington, D.C. http://hdl.handle.net/2142/3493 Lord, P., Macdonald, A., Lyon, L., & Giaretta, D. (2004). From Data Deluge to Data Curation. Proc 3th UK e-Science All Hands Meeting. Scaramozzino, J. M., Ramírez, M. L., & McGaughey, K. J. (2012). A Study of Faculty Data Curation Behaviors and Attitudes at a Teaching-Centered University. College & Research Libraries, 73(4). http://crl.acrl.org/content/73/4/349 Senseney, M., Muñoz, T., Flanders, J., & Fenlon, A. (In Press). Digital Humanities Data Curation Institutes: Challenges and Preliminary Findings. Digital Humanities 2014, Lausanne, Switzerland. UK Data Archive. Research Data Lifecycle. http://www.data-archive.ac.uk/create-manage/life-cycle