Scholarship in the Digital Age

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Slides from a lecture in the Oxford Internet Institute Undergraduate Lecture Series (http://www.oii.ox.ac.uk/teaching/undergraduate/).

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  • Similar to previous but for search terms
  • Included to show field differences (particularly between social science and comp sci), which underscores how google-ability differs by field
  • Point out dis-intermediation / re-intermediation aspects of online distribution / dominance by Google
  • Scholarship in the Digital Age

    1. 1. EricT. Meyer with Ralph Schroeder Oxford Internet Institute Undergraduate Lecture Series Michaelmas Term 2010 Scholarship in the Digital Age
    2. 2.  Research about the Internet as social phenomenon  Research using the Internet as an information resource  The Internet as research tool and research method  The Internet as underlying infrastructure enabling advances in research across domains and disciplines
    3. 3. Source: Meyer, E.T., Schroeder, R. (2009). Untangling theWeb of e-Research:Towards a Sociology of Online Knowledge. Journal of Informetrics 3(3):246-260
    4. 4.  research using  digital tools and data  for the distributed and collaborative  production of knowledge
    5. 5. Source: CERN, CERN-EX-0712023, http://cdsweb.cern.ch/record/1203203
    6. 6. Source: Dutton (2010). Reconfiguring Access in Research: Information. Expertise, and Experience. In Dutton & Jeffreys (eds) World Wide Research: Reshaping the Sciences and Humanities. The MIT Press.
    7. 7. Source: S. Wuchty et al., (2007).The Increasing Dominance ofTeams in Production of Knowledge. Science 316, 1036 -1039.
    8. 8. Source: Meyer, E.T., Schroeder, R. (2009). Untangling theWeb of e-Research:Towards a Sociology of Online Knowledge. Journal of Informetrics 3(3):246-260
    9. 9. Source: Schroeder, R., Meyer, E.T. (2009). Gauging the Impact of e-Research in the Social Sciences. Paper presented at the 104th American Sociological Association Annual Meeting,August 8-11, San Francisco, California.
    10. 10. Source: Meyer, E.T., Park, H-W., Schroeder, R. (2009). Mapping Global e-Research: Scientometrics andWebometrics. Proceedings of the 5th International Conference on e-Social Science, June 24-26, Cologne, Germany.
    11. 11. Visibility Source: Meyer, E.T., Park, H-W., Schroeder, R. (2009). Mapping Global e-Research: Scientometrics and Webometrics. Proceedings of the 5th International Conference on e-Social Science, June 24-26, Cologne, Germany.
    12. 12. Why is science and research growing more collaborative?
    13. 13. Is technology driving it?
    14. 14. Or are there big scientific questions that cannot be answered otherwise?
    15. 15. SPLASH: Structure of Populations, Levels of Abundance, and Status of Humpbacks Meyer, E.T. (2009). Moving from small science to big science: Social and organizational impediments to large scale data sharing. In Jankowski, N. (Ed.), E-Research: Transformation in Scholarly Practice (Routledge Advances in Research Methods series). New York: Routledge.
    16. 16. Humpback whales
    17. 17. 20  Dolphins Dolphins
    18. 18. 22 Humpback whales
    19. 19. 23
    20. 20. 24
    21. 21. GAIN: Genetic Association Information Network Ca. 2006-2007
    22. 22. 34 46 58 51 39 57 Data reqs
    23. 23. Years Type of study Samples DNA Sequencing Scope of collaboration 1985-1997 Family association / linkage 300 Hundreds of loci / candidate genes 4 sites in USA 1997-2007 Family association / linkage 1,500 10,000 SNPs 13 sites in USA 2007-2009 Genome-wide association 5,000 1,200,000 SNPs Multiple multi- institution collaborations in USA 2010-? Whole genome 30,000 Millions of SNPs World-wide collaboration Future Whole genome sequencing ? Entire genome sequence World-wide collaboration
    24. 24. Annotation Size (no. of words) Entries (topical + alphabetical + page-by-page) Contributors Book Form Annotation: Weisenburger’s Gravity’s Rainbow 162000 904 1 (22) Wiki: Against the Day 455057 120 + 1358 + 4067 235 Comparison of book and wiki annotation efforts Source: Schroeder, R., & Besten, M. D. (2008). Literary Sleuths Online: e-Research collaboration on the Pynchon Wiki. Information, Communication & Society, 11(2), 167 - 187. Weisenburger vs. the Wiki on Pynchon
    25. 25. Source: Meyer, E.T., Schroeder, R. (2009). Untangling the Web of e-Research: Towards a Sociology of Online Knowledge. Journal of Informetrics 3(3):246-260.
    26. 26. Source: Meyer, E.T., Schroeder, R. (2009). Untangling theWeb of e-Research:Towards a Sociology of Online Knowledge. Journal of Informetrics 3(3):246-260
    27. 27. Source: Schroeder, R., Meyer, E.T. (2009). Gauging the Impact of e-Research in the Social Sciences. Paper presented at the 104th American Sociological Association Annual Meeting,August 8-11, San Francisco, California.
    28. 28. Source: Schroeder, R., Meyer, E.T. (2009). Gauging the Impact of e-Research in the Social Sciences. Paper presented at the 104th American Sociological Association Annual Meeting,August 8-11, San Francisco, California.
    29. 29. Source: Schroeder, R., Meyer, E.T. (2009). Gauging the Impact of e-Research in the Social Sciences. Paper presented at the 104th American Sociological Association Annual Meeting,August 8-11, San Francisco, California.
    30. 30. 9% 36% 53% 38% 43% 55% 36% 38% 50% 48% 36% 21% 6% 13% 10% 0% 7% 2% 0% 0% 0% 20% 40% 60% 80% 100% HistPop BOPCRIS BL News BL Sounds Med Backfiles Original version Original + URL Online version Other 46% 29% 35% 20% 43% 0%20%40%60% Have you ever published a piece based on your work in this collection? If so, how did you cite the collection?
    31. 31. Source: Meyer & Schroeder (2009).TheWorldWideWeb of Research and Access to Knowledge.Journal of Knowledge Management Research and Practice 7 (3):218-233.
    32. 32. 42 SI (and Kling) Big Ideas: 1. Computerization Movements 2. Social Actors (vs. users) 3. Socio-Technical Interaction Networks (STINs) - building on SCOT and ANT regarding technology in use 4. Others
    33. 33. 43 “Several fundamental assumptions underlie the application of the STIN methodology, and drive the methods used to construct STINs.These assumptions include:  [1] the social and the technological are not meaningfully separable…,  [2]Theories of social behavior…should influence technical design choices…,  [3] system participants are embedded in multiple, overlapping, and non-technologically mediated social relationships, and therefore may have multiple, often conflicting, commitments…, and  [4] sustainability and routine operations are critical. “ Quote from: Kling, R., McKim, G., & King, A. (2003). A Bit More to IT: Scholarly Communication Forums as Socio-Technical Interaction Networks. Journal of the American Society for Information Science and Technology, 54(1), 46-67.
    34. 34. 44 For more information see Meyer, E.T. (2006). Socio-technical Interaction Networks: A discussion of the strengths, weaknesses and future of Kling’s STIN model. In J. Berleur, M.I. Numinen, & J. Impagliazzo (Eds.), IFIP International Federation for Information Processing,Volume 223, Social Informatics: An Information Society for All? In Remembrance of Rob Kling (pp. 37-48). Boston: Springer. [Also available to subscribers at SpringerLink: http://dx.doi.org/10.1007/978-0-387-37876-3_3 ]
    35. 35. Oxford e-Social Science Project Oxford Internet Institute Oxford e-Research Centre Institute for Science, Innovation and Society at Saïd Business School
    36. 36. Visualization Source: Boyack, Klavens & Borner (2005) Mapping the Backbone of Science. Scientometrics 64(3): 351-374.
    37. 37. Oxford Internet Institute University of Oxford Eric T. Meyer eric.meyer@oii.ox.ac.uk http://people.oii.ox.ac.uk/meyer Ralph Schroeder ralph.schroeder@oii.ox.ac.uk http://people.oii.ox.ac.uk/schroeder Oxford e-Social Science Project With funding from:

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