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

1. EricT. Meyer with Ralph Schroeder
Oxford Internet Institute
Undergraduate Lecture Series
Michaelmas Term 2010
Scholarship in the Digital Age

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. 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.  research using
 digital tools and data
 for the distributed and collaborative
 production of knowledge

5. Source: CERN, CERN-EX-0712023, http://cdsweb.cern.ch/record/1203203

9. 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.

10. Source: S. Wuchty et al., (2007).The Increasing Dominance ofTeams in Production of
Knowledge. Science 316, 1036 -1039.

11. 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

12. 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.

13. 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.

14. 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.

15. Why is science and research growing more collaborative?

16. Is technology driving it?

17. Or are there big scientific questions that cannot be answered otherwise?

18. 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.

19. Humpback whales

20. 20
 Dolphins
Dolphins

22. 22
Humpback whales

23. 23

24. 24

26. GAIN:
Genetic Association
Information Network
Ca. 2006-2007

28. 34
46
58
51
39
57
Data reqs

30. 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

31. 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

32. 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.

33. 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

34. 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.

35. 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.

36. 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.

37. 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?

41. Source: Meyer & Schroeder (2009).TheWorldWideWeb of Research and Access to Knowledge.Journal of Knowledge Management Research
and Practice 7 (3):218-233.

42. 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

43. 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.

44. 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 ]

45. Oxford e-Social Science Project
Oxford
Internet
Institute
Oxford
e-Research
Centre
Institute for
Science, Innovation
and Society
at
Saïd Business School

46. Visualization Source: Boyack, Klavens & Borner (2005) Mapping the Backbone of Science. Scientometrics 64(3): 351-374.

47. 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: