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Going Against Goliath 23 rd May 2010

Going Against Goliath 23 rd May 2010. Katrina Kurtz , MLIS Carrie Iwema , PhD, MLS Ansuman Chattopadhyay , PhD Health Sciences Library System University of Pittsburgh http://www.hsls.pitt.edu/guides/genetics. Photo credit: http://www.uncabaret.com/node?page=5. Bioinformatics Tools.

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Going Against Goliath 23 rd May 2010

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  1. Going Against Goliath23rd May 2010 Katrina Kurtz, MLIS Carrie Iwema, PhD, MLS AnsumanChattopadhyay, PhD Health Sciences Library System University of Pittsburgh http://www.hsls.pitt.edu/guides/genetics

  2. Photo credit: http://www.uncabaret.com/node?page=5

  3. Bioinformatics Tools • Answerbiological questions • Made by informaticsresearchers • Freelyavailable to the public • Published in scholarlyjournals http://www.hsls.pitt.edu/guides/genetics

  4. Bioinformatics Tools • Examples: • Protein structure prediction • Sequencealignment • Databases of genesassociatedwithdisease • Protein interactions http://www.hsls.pitt.edu/guides/genetics

  5. Who Uses Bioinformatics Tools? • Biologists: • Faculty researchers • Graduate students • Undergraduate students • Doctors who do biomedical research • Biomedical informatics researchers http://www.hsls.pitt.edu/guides/genetics

  6. Online BioinformaticsResources Collection • Manuallycurated • Searchable collection of bioinformaticstools • Freelyavailable to the public • 2696 resources • http://www.hsls.pitt.edu/guides/genetics/obrc/ http://www.hsls.pitt.edu/guides/genetics

  7. http://www.hsls.pitt.edu/guides/genetics

  8. http://www.hsls.pitt.edu/guides/genetics

  9. http://www.hsls.pitt.edu/guides/genetics

  10. Common Criticisms… • Whybother? • Everyone uses Google. • Google istaking over. http://www.hsls.pitt.edu/guides/genetics

  11. Is Google ActuallyBetter? • Large amount of data • Popularityranking • Biologists are not librarians http://www.hsls.pitt.edu/guides/genetics

  12. Research Project Hypothesis • OBRC isbetterthan Google at • Locatingbioinformaticstools • Quickly • Easily • Successfully • Leavingusershappierwith: • Results • Overallexperience http://www.hsls.pitt.edu/guides/genetics

  13. Research Project • 10 biologygraduatestudents • Threetasks on both OBRC and Google • Recordedsearch as theynarrated • Search experience survey http://www.hsls.pitt.edu/guides/genetics

  14. Research Project • Measured: • Time spent on eachsearch • Number of searchqueries • Number of sites visited • Success rate • Users’ ratings http://www.hsls.pitt.edu/guides/genetics

  15. Task 1: Protein Interaction • You are a pharmacologist interested in drugs that target proteins. Where would you find reliable information about how drugs interact with proteins, specifically information about the strength of the binding between the protein and ligand? http://www.hsls.pitt.edu/guides/genetics

  16. Task 2: Structure Prediction • Find a tool that performs protein structure prediction. Determine from the search engine how often it has been cited. http://www.hsls.pitt.edu/guides/genetics

  17. Task 3: Ovarian Cancer • Where would you look for information about all the published gene mutations implicated in ovarian cancer, in one place? http://www.hsls.pitt.edu/guides/genetics

  18. Is it faster? Protein Interaction Structure Prediction Ovarian Cancer http://www.hsls.pitt.edu/guides/genetics

  19. Is it easier to find results? Protein Interaction Structure Prediction Ovarian Cancer http://www.hsls.pitt.edu/guides/genetics

  20. Is it easier to find results? Protein Interaction Structure Prediction Ovarian Cancer http://www.hsls.pitt.edu/guides/genetics

  21. Is it successful? Protein Interaction Structure Prediction Ovarian Cancer http://www.hsls.pitt.edu/guides/genetics

  22. Do users like it? http://www.hsls.pitt.edu/guides/genetics

  23. What do theysay about Google? “Google was difficult to navigate with all the information on cancer.” “I was just frustrated [by Google].” “[Google is] time consuming unless we know what we are searching for.” “I realized that Google is not an effective search tool.” http://www.hsls.pitt.edu/guides/genetics

  24. What do they say about OBRC? “[OBRC] was much easier to locate relevant information.” “Wow, this is really direct!” “OBRC is an excellent resource, especially if you don’t know exactly what you’re searching for.” “Gives good results, but I don’t like the interface.” http://www.hsls.pitt.edu/guides/genetics

  25. Whatdidwelearn about OBRC? • Time lag • Scopus and Google Scholar • Spell check • Long searchqueries • Unawareitexists http://www.hsls.pitt.edu/guides/genetics

  26. Limitations • Small sample size • Potentialbiasfromtasks • Previousexperiencewith Google http://www.hsls.pitt.edu/guides/genetics

  27. Future Work • Largersample size • Other user groups • User-chosentask http://www.hsls.pitt.edu/guides/genetics

  28. Conclusions… • Searches using OBRC are: • Faster • Easier • More successful • Users are more satisfied. • Users plan to use OBRC in the future. http://www.hsls.pitt.edu/guides/genetics

  29. Conclusions… …libraries can and should compete! http://www.hsls.pitt.edu/guides/genetics

  30. This study is IRB approved. • Funding provided by: NLM Grant 3 T15 LM007059-23S1 • Thanks to my collaborators, Dr. Carrie Iwema and Dr. AnsumanChattopadhyay • Special thanks to Nancy Tannery and Dr. Rebecca Crowley http://www.hsls.pitt.edu/guides/genetics

  31. Thank you!Any questions? Katrina KurtzCarrie IwemaAnsumanChattopadhyay kak59@pitt.eduiwema@pitt.eduansuman@pitt.edu 412-624-3508 412-648-6887 412-648-1297 http://www.hsls.pitt.edu/guides/genetics

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