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Measuring Our Success assessment of a library-based specialized information service

Measuring Our Success assessment of a library-based specialized information service. Carrie Iwema, PhD, MLS John LaDue, MLIS Ansuman Chattopadhyay, PhD Health Sciences Library System University of Pittsburgh. MLA ‘09. Molecular Biology Information Service.

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Measuring Our Success assessment of a library-based specialized information service

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  1. Measuring Our Successassessment of a library-based specialized information service Carrie Iwema, PhD, MLS John LaDue, MLIS Ansuman Chattopadhyay, PhD Health Sciences Library System University of Pittsburgh MLA ‘09

  2. Molecular Biology Information Service www.hsls.pitt.edu/guides/genetics

  3. Survey: Logistics • Opinio • 23 questions • Distribution • Website—new window (3 wks) • Email—>1700 recipients (3x) • Website—home page (1 wk) www.hsls.pitt.edu/guides/genetics

  4. Survey: Demographics • 135 completed responses (191) • 45 departments • MMG, Medicine, Path, Cell Bio/Phys, Immunology • 64% School of Medicine • 37% faculty, 25%postdoc, 23% student • 3 = Bioinformatics experience level (1-5) • 63% PC vs37% Mac www.hsls.pitt.edu/guides/genetics

  5. Survey: Usage & Awareness Services Usage Services Initial Awareness www.hsls.pitt.edu/guides/genetics

  6. www.hsls.pitt.edu/guides/genetics www.hsls.pitt.edu/guides/genetics

  7. # OBRC queries/month www.hsls.pitt.edu/guides/genetics

  8. Website Activity (WebTrends) • Avg # page views/day: 4,414 • 33%increase over last year • Busiest time: Tuesdays, 2pm EST • Top pages: Home page, OBRC, PCR, Tutorials • Int’l: Canada, India, Germany, France, UK, Brazil • US: PA,NY, CT, CA, TN, VA • Top referrers: Google (int’l), HSLS home page www.hsls.pitt.edu/guides/genetics

  9. Survey: Website Homepage Usage www.hsls.pitt.edu/guides/genetics

  10. Survey: Website search.HSLS.MolBio Usage TUTORIAL FORMAT Video = 66% Written = 54% TUTORIAL TOPICS • SNPs, GWAS • miRNA, RNAi • Protein structure modeling • Primer design • HapMap • Sequence alignment • Immunoinformatics www.hsls.pitt.edu/guides/genetics

  11. Workshop Stats time period = 20 months (9/07- 4/09) # topics = 12 # classes = 56 # attendees = 703 # attendees/class = 13 (3-29) # classes/month = 3 Attendance other staff student www.hsls.pitt.edu/guides/genetics

  12. Survey: Workshops • Popular workshops • Pathway Analysis Tools • Genetic Variations Resources • Vector NTI (licensed tool) • Workshop suggestions • Advanced classes • Neuroinformatics • Database management • Analysis: SNP, promoter, microarray, pathway… www.hsls.pitt.edu/guides/genetics

  13. Survey: Licensed Tools Usage Suggested Tools • MacVector • Partek(microarray/copy # variation) • Graphpad Prism (biostats) • Oncomine(Cancer gene expression analysis) • Lasergene(sequence analysis) • Golden Helix (SNP & Variation suite) (164) (236) www.hsls.pitt.edu/guides/genetics

  14. Survey: Consultations • “They are good at their work and help people generously.” • “…lecture to our dept was very worthwhile and increased my use of the site substantially.” • “Thanks for offering us such a great service!” • “Please expand even further.” • “…issue resolved, but it shouldn’t have taken so much effort. All of these resources are useless w/o any assistance in accessing/ using them.” www.hsls.pitt.edu/guides/genetics

  15. Ramifications • Advertising • Posters • Journals & bioinformatics blogs • Teaching • Advanced workshops • Departmental seminars • Curriculum integration • Collaborations • ULS (main campus library system) • CTSI (clinical-translational science) • Website • Online tutorials—video & text • Blog sharing (Bitesize Bio) • Automate OBRC database • Mac-compatible licensed tools • Write grants & articles www.hsls.pitt.edu/guides/genetics

  16. Thank you!Any questions? Carrie Iwema iwema@pitt.edu 412-383-6887 http://www.hsls.pitt.edu/guides/genetics

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