Knowledge infrastructures in science: data, diversity, and digital libraries

International Journal on Digital Libraries

Volumn 16, Issue 3-4, 2015, Pages 207-227

  Borgman, Christine L ^a   Darch, Peter T ^a   Sands, Ashley E ^a   Pasquetto, Irene V ^a   Golshan, Milena S ^a   Wallis, Jillian C ^a   Traweek, Sharon ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Big science; Data management; Digital libraries; Little science; Open access; Open data; Scholarly communication

Indexed keywords

EID: 84939267934     PISSN: 14325012     EISSN: 14321300     Source Type: Journal    
DOI: 10.1007/s00799-015-0157-z     Document Type: Article

References (124)

1. Abazajian, K.N., Adelman-McCarthy, J.K., Agüeros, M.A., et al.: The seventh data release of the sloan digital sky survey. Astrophys. J. Suppl. Ser. 182(2), 543–558 (2009)
2. ADS. The SAO/NASA Astrophysics Data System. (2015). http://www.adsabs.harvard.edu
3. Ahn, C.P., Alexandroff, R., Allende Prieto, C., et al.: The ninth data release of the sloan digital sky survey: first spectroscopic data from the SDSS-III Baryon oscillation spectroscopic survey. Astrophys. J. Suppl. Ser. 203(2), 21 (2012)
4. Arzberger, P., Schroeder, P., Beaulieu, A., et al.: An international framework to promote access to data. Science 303(5665), 1777–1778 (2004)
5. Astronomy and Astrophysics Survey Committee: Astronomy and Astrophysics in the New Millennium. National Academy of Sciences, Washington, DC (2001)
6. Bechhofer, S., Ainsworth, J., Bhagat, J., et al.: Why Linked Data is Not Enough for Scientists. 2010 IEEE Sixth International Conference on e-Science (e-Science), pp. 300–307, (2010)
7. Bell, G., Hey, T., Szalay, A.S.: Beyond the data deluge (Computer Science). Science 323(5919), 1297–1298 (2009)
8. Berman, F., Cerf, V.G.: Who will pay for public access to research data? Science 341(6146), 616–617 (2013)
9. Bicarregui, J., Gray, N., Henderson, R., Jones, R., Lambert, S., Matthews, B.: Data management and preservation planning for big science. Int. J. Digit. Curation 8(1), 29–41 (2013)
10. Blocker, A.W., Meng, X.-L.: The potential and perils of preprocessing: building new foundations. Bernoulli 19(4), 1176–1211 (2013)
11. Borgman, C.L.: What are digital libraries? Compet. Vis. Inf. Process. Manag. 35(3), 227–243 (1999)
12. Borgman, C.L.: Scholarship in the Digital Age: Information, Infrastructure, and the Internet. MIT Press, Cambridge (2007)
13. Borgman, C.L.: Big Data, Little Data, No Data: Scholarship in the Networked World. The MIT Press, Cambridge (2015)
14. Borgman, C.L., Bates, M., Cloonan, M., et al.: Social Aspects of Digital Libraries. Final Report to the National Science Foundation. (1996)
15. Borgman, C.L., Bowker, G.C., Finholt, T.A., and Wallis, J.C.: Towards a virtual organization for data cyberinfrastructure. In: Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries, ACM, pp. 353–356 (2009)
16. Borgman, C.L., Darch, P.T., Sands, A.E., Wallis, J.C., Traweek, S.: The ups and downs of knowledge infrastructures in science: implications for data management. 2014 IEEE/ACM Joint Conference on Digital Libraries (JCDL), IEEE Computer Society, pp. 257–266 (2014)
17. Borgman, C.L., Traweek, S.: The transformation of knowledge, culture, and practice in data-driven science: a knowledge infrastructures perspective. 2012. http://knowledgeinfrastructures.gseis.ucla.edu/?page_id=50
18. Borgman, C.L., Wallis, J.C., Enyedy, N.D.: Building digital libraries for scientific data: an exploratory study of data practices in habitat ecology. In: Proceedings of the 10th European Conference on Research and Advanced Technology for Digital Libraries, Springer Berlin Heidelberg, pp. 170–183 (2006)
19. Borgman, C.L., Wallis, J.C., Enyedy, N.D.: Little science confronts the data deluge: habitat ecology, embedded sensor networks, and digital libraries. Int. J. Digital Libr. 7(1–2), 17–30 (2007)
20. Borgman, C.L., Wallis, J.C., Mayernik, M.S.: Who’s got the data? Interdependencies in science and technology collaborations. Comput. Support. Coop. Work 21(6), 485–523 (2012)
21. Borgman, C.L., Wallis, J.C., Mayernik, M.S., Pepe, A.: Drowning in data: digital library architecture to support scientific use of embedded sensor networks. Joint Conference on Digital Libraries, Association for Computing Machinery, pp. 269–277 (2007)
22. Borne, K.D.: Planets Stars and Stellar Systems. In: Oswalt, T.D., Bond, H.E. (eds.) Virtual Observatories, Data Mining, and Astroinformatics. Springer, Netherlands (2013)
23. Boulton, G., Campbell, P., Collins, B., et al.: Science as an Open Enterprise. The Royal Society, London (2012)
24. Bowker, G.C.: Memory Practices in the Sciences. MIT Press, Cambridge (2005)
25. Brunsmann, J., Wilkes, W., Schlageter, G., Hemmje, M.: State-of-the-art of long-term preservation in product lifecycle management. Int. J. Digital Libr. 12(1), 27–39 (2012)
26. Capshew, J.H., Rader, K.A.: Big science: price to the present. Osiris 7, 2–25 (1992)
27. Center for Dark Energy Biosphere Investigations. C-DEBI Strategic Implementation Plan, 2010–2015 (2010)
28. Center for Dark Energy Biosphere Investigations. C-DEBI Data Management Philosophy and Policy. 2012
29. Center for Dark Energy Biosphere Investigations. C-DEBI. (2014). http://www.darkenergybiosphere.org/
30. Chompalov, I.: Lessons Learned from the Study of Multi-organizational Collaborations in Science and Implications for the Role of the University in the 21st Century. In: Herbst, M. (ed.) The Institution of Science and the Science of Institutions, pp. 167–184. Springer, Netherlands (2014)
31. CODATA-ICSTI Task Group on Data Citation Standards and: Practices. Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation of Data. Data Science Journal 12, 1–75 (2013)
32. Collins, H.M.: LIGO becomes big science. Hist. Stud. Phys. Biol. Sci. 33(2), 261–297 (2003)
33. Committee for a Decadal Survey of Astronomy and Astrophysics; National Research Council. New Worlds, New Horizons in Astronomy and Astrophysics. The National Academies Press, Washington, D.C., (2010)
34. Committee on Ensuring the Utility and Integrity of Research Data in a Digital Age. Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age. National Academy Press, Washington, D.C. (2009)
35. Cragin, M.H., Palmer, C.L., Carlson, J.R., Witt, M.: Data sharing, small science, and institutional repositories. Philos. Trans. R. Soc. A: Math. Phys. Eng. Sci. 368(1926), 4023–4038 (2010)
36. Darch, P.T.: When Scientists Meet the Public: An Investigation into Citizen Cyberscience. (2011)
37. Darch, P.T., Borgman, C.L.: Ship space to database: motivations to manage research data for the deep subseafloor biosphere. In: Proceedings of the 77th Annual Meeting of the Association for Information Science and Technology (2014)
38. Darch, P.T., Borgman, C.L., Traweek, S., Cummings, R.L., Wallis, J.C., Sands, A.E.: What lies beneath? Knowledge infrastructures in the subseafloor biosphere and beyond. Int. J. Digital Libr. 16(1), 61–77 (2015)
39. Darch, P.T., Sands, A.E.: Beyond big or little science: understanding data lifecycles in astronomy and the deep subseafloor biosphere. (2015)
40. David, P.A.: The economic logic of ‘Open Science’ and the balance between private property rights and the public domain in scientific data and information: A primer. In: The Role of the Public Domain in Scientific Data and Information. National Academy Press, Washington, D.C., 19–34 (2003)
41. Digital Curation Centre. What is digital curation? (2014). http://www.dcc.ac.uk/digital-curation/what-digital-curation
42. Edwards, K.: Center for Dark Energy Biosphere Investigations (C-DEBI): A Center for Resolving the Extent. Function, Dynamics and Implications of the Subseafloor Biosphere (2009)
43. Edwards, P.N.: A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming. MIT Press, Cambridge (2010)
44. Edwards, P.N., Jackson, S.J., Chalmers, M.K., et al.: Knowledge Infrastructures: Intellectual Frameworks and Research Challenges. University of Michigan, Ann Arbor (2013)
45. Edwards, P.N., Mayernik, M.S., Batcheller, A.L., Bowker, G.C., Borgman, C.L.: Science friction: data, metadata, and collaboration. Soc. Stud. Sci. 41(5), 667–690 (2011)
46. European Commission High Level Expert Group on Scientific Data. Riding the wave: How Europe can gain from the rising tide of scientific data. European Union (2010)
47. Exploring Computer Science. Mobilize: Mobilizing for Innovative Computer Science Teaching and Learning. (2014). http://www.exploringcs.org/about/related-grants/mobilize
48. Faniel, I.M., Jacobsen, T.E.: Reusing scientific data: how earthquake engineering researchers assess the reusability of colleagues’ data. J. Comput. Supported Coop. Work 19(3–4), 355–375 (2010)
49. Fearon Jr., D.S., Borgman, C.L., Traweek, S., Wynholds, L.A.: Curators to the Stars (Poster). Annual Meeting of the American Society for Information Science & Technology (2010)
50. Finkbeiner, A.K.: A Grand and Bold Thing: the Extraordinary New Map of the Universe Ushering in a New Era of Discovery. Free Press, New York (2010)
51. Frieman, J.: Dark energy survey. Bull. Am. Astron. Soc. 43, 20501 (2011)
52. Furner, J.: Little book, big book: before and after little science, big science: a review article, part I. J. Libr. Inf. Sci. 35(2), 115–125 (2003)
53. Furner, J.: Little book, big book: before and after little science, big science: a review article, part II. J. Libr. Inf. Sci. 35(3), 189–201 (2003)
54. Galison, P.: The Collective Author. Scientific authorship: Credit and intellectual property in science pp. 325–355 (2003)
55. Galison, P., Hevly, B.W.: Big Science: The Growth of Large-Scale Research. Stanford University Press, Stanford (1992)
56. Gitelman, L. (ed.): Raw Data. Is an Oxymoron. The MIT Press, Cambridge (2013)
57. Glaser, B.G., Strauss, A.L.: The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine Pub. Co., Chicago (1967)
58. Goodman, A.A., Pepe, A., Blocker, A.W., et al.: Ten simple rules for the care and feeding of scientific data. PLoS Comput. Biol. 10(4), e1003542 (2014)
59. Gray, J., Liu, D.T., Nieto-Santisteban, M., Szalay, A.S., DeWitt, D.J., Heber, G.: Scientific data management in the coming decade. SIGMOD Rec. 34(4), 34–41 (2005)
60. Gray, J., Slutz, D., Szalay, A.S., et al.: Data Mining the SDSS SkyServer Database. (2002)
61. Gray, N., Carozzi, T.D., Woan, G.: Managing research data in big science. (2012). arXiv:1207.3923
62. Greenberg, J.: Theoretical considerations of lifecycle modeling: an analysis of the dryad repository demonstrating automatic metadata propagation, inheritance, and value system adoption. Cat. Classif. Quart. 47(3–4), 380–402 (2009)
63. Heidorn, P.B.: Shedding light on the dark data in the long tail of science. Libr. Trends 57(2), 280–299 (2008)
64. Hey, T., Trefethen, A.E.: Cyberinfrastructure for e-Science. Science 308(5723), 817–821 (2005)
65. Higgins, S.: The DCC curation lifecycle model. Int. J. Digit. Curation 3(1), 134–140 (2008)
66. Higgins, S.: The lifecycle of data management. In: Managing Research Data. Facet Publishing; 1 st edn (January 31, 2012), p. 224 (2012)
67. Humphrey, C.: e-Science and the Life Cycle of Research. (2008)
68. IODP. International Ocean Discovery Program. (2014). http://iodp.org/
69. Ivezic, Z., Tyson, J.A., Abel, B., et al. LSST: from science drivers to reference design and anticipated data products (Version 4.0). (2014). http://arxiv.org/abs/0805.2366
70. Jackson, S.J., Buyuktur, A.: Who killed WATERS? Mess, method, and forensic explanation in the making and unmaking of large-scale science networks. Sci. Technol. Hum. Values 39(2), 285–308 (2014)
71. Jackson, S.J., Ribes, D., Buyuktur, A., Bowker, G.C.: Collaborative rhythm: temporal dissonance and alignment in collaborative scientific work. In: Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, ACM, pp. 245–254 (2011)
72. Johns Hopkins University. Krieger Astronomer Awarded $$\$9.5$$$9.5 Million to Create “Virtual Telescope. 2013. http://krieger.jhu.edu/blog/2013/11/04/krieger-astronomer-awarded-9-5-million-to-create-virtual-telescope/
73. Karasti, H., Baker, K.S.: Digital data practices and the long term ecological research program growing global. Int. J. Digit. Curation 3(2), 42–58 (2008)
74. Karasti, H., Baker, K.S., Halkola, E.: Enriching the notion of data curation in e-science: data managing and information infrastructuring in the long term ecological research (lter) network. J. Comput.-Support. Coop. Work 15(4), 321–358 (2006)
75. Karasti, H., Baker, K.S., Millerand, F.: Infrastructure time: long-term matters in collaborative development. Comput. Support. Coop. Work (CSCW) 19(3–4), 377–415 (2010)
76. Knorr-Cetina, K.: Epistemic Cultures: How the Sciences Make Knowledge. Harvard University Press, Cambridge (1999)
77. Lambright, W.H.: Government and science: a troubled, critical relationship and what can be done about it. Public Adm. Rev. 68(1), 5–18 (2008)
78. Laney, D.: 3D Data Management: Controlling Data Volume. Velocity and Variety. META Group (Gartner) (2001)
79. Latour, B., Woolgar, S.: Laboratory Life: The Construction of Scientific Facts. Princeton University Press, Princeton (1986)
80. Lenoir, T., Hays, M.: The Manhattan project for biomedicine. Controlling Our Destinies. Historical, Philosophical, Ethical, and Theological Perspectives on the Human Genome Project, pp. 29–62 (2000)
81. Liu, X., Wang, Q., Zhou, Z.: IODP in Japan. Adv. Earth Sci. 4, 10 (2004)
82. LSST. Large Synoptic Survey Telescope: Timeline. 2013. http://www.lsst.org/lsst/science/timeline
83. LSST Collaboration. Community Science Input and Participation. Large Synoptic Survey Telescope, 2013. http://www.lsst.org/lsst/science/participate
84. LSST Science Collaboration, Abell, P.A., Allison, J., et al.: LSST Science Book, Version 2.0. (2009)
85. Mandell, R.A.: Researchers’ Attitudes towards Data Discovery: Implications for a UCLA Data Registry. Social Science Research Network, Rochester (2012)
86. Maurer, B.A.: Models of Scientific Inquiry and Statistical Practice: Implications for the structure of scientific knowledge. In: The Nature of Scientific Evidence: Statistical, philosophical, and empirical considerations. The University of Chicago Press, Chicago, pp. 17–50 (2004)
87. Mayernik, M.S.: Metadata Realities for Cyberinfrastructure: Data Authors as Metadata Creators. (2011). doi:10.2139/ssrn.2042653
88. Mayernik, M.S., Wallis, J.C., Borgman, C.L.: Unearthing the infrastructure: humans and sensors in field-based research. Comput. Support. Coop. Work 22(1), 65–101 (2013)
89. McCray, W.P.: Giant Telescopes: Astronomical Ambition and the Promise of Technology. Harvard University Press, Cambridge, MA (2004)
90. Meyer, E.T., Schroeder, R.: Knowledge Machines: Digital Transformations of the Sciences and Humanities. MIT Press, Cambridge (2015)
91. Nexleaf. 2013. http://nexleaf.org/about-us-0
92. Onsrud, H., Campbell, J.: Big opportunities in access to “Small Science” Data. Data Sci. J. 6, OD58–OD66 (2007)
93. Orcutt, B.N., LaRowe, D.E., Biddle, J.F., et al.: Microbial activity in the marine deep biosphere: progress and prospects. Extreme Microbiol. 4, 189 (2013)
94. Palmer, C.L., Cragin, M.H., Heidorn, P.B., Smith, L.C.: Data Curation for the Long Tail of Science: The Case of Environmental Sciences (2007)
95. Parsons, M.A., Fox, P.A.: Is data publication the right metaphor? Data Sci. J. 12, WDS32–WDS46 (2013)
96. Pepe, A., Goodman, A., Muench, A., Crosas, M., Erdmann, C.: How do astronomers share data? Reliability and persistence of datasets linked in AAS publications and a qualitative study of data practices among US astronomers. PLoS One 9(8), e104798 (2014)
97. Pepe, A., Mayernik, M.S., Borgman, C.L., Van de Sompel, H.: From artifacts to aggregations: modeling scientific life cycles on the semantic web. J. Am. Soc. Inf. Sci. Technol. 61(3), 567–582 (2010)
98. Price, D.J. de S.: Little Science, Big Science. Columbia University Press, New York, NY, USA, (1963)
99. Ray, J.M. (ed.): Research Data Management: Practical Strategies for Information Professionals. Purdue University Press, West Lafayette (2014)
100. Renear, A.H., Sacchi, S., Wickett, K.M.: Definitions of dataset in the scientific and technical literature. Proc. Am. Soc. Inf. Sci. Technol. 47(1), 1–4 (2010)
101. Ribes, D., Jackson, S.J.: Data Bite Man: The Work of Sustaining a Long-Term Study. In: Gitelman, L., ed. “Raw Data” Is an Oxymoron. pp. 147–166. The MIT Press, Cambridge, MA (2013)
102. Sands, A.E., Borgman, C.L., Traweek, S., Wynholds, L.A.: We’re working on it: transferring the sloan digital sky survey from laboratory to library. Int. J. Digit. Curation 9(2), 98–110 (2014)
103. Schofield, P., Eppig, J., Huala, E., et al.: Sustaining the data and bioresource commons. Science 330, 592–593 (2010)
104. SDSS. Sloan Digital Sky Survey (2014). http://www.sdss.org/
105. Smith, R.W.: The Biggest Kind of Big Science: Astronomers and the Space Telescope. In: Galison, P., Hevly, B.W. (eds.) Big Science: The Growth of Large-scale Research, pp. 184–211. Stanford University Press, Stanford (1992)
106. Suber, P.: Open Access. MIT Press, Cambridge (2012)
107. Szalay, A.S.: Jim Gray, astronomer. Commun. ACM 51, 59–65 (2008)
108. Thakar, A.R., Szalay, A.S., Fekete, G., Gray, J.: The catalog archive server database management system. Comput. Sci. Eng. 10(1), 30–37 (2008)
109. Traweek, S.: Beamtimes and Lifetimes: The World of High Energy Physicists. Harvard University Press, Cambridge (1988)
110. Traweek, S.: Big Science as Colonialist Discourse: Regional Differences in Japanese High Energy Physics. In: Galison, P., Hevly, Bruce William (eds.) Big Science: The Growth of Large-scale Research, pp. 100–128. Stanford University Press, Stanford (1992)
111. Traweek, S.: Border Crossings: Narrative Strategies in Science Studies and Among High Energy Physicists at Tsukuba Science City, Japan. In: Science as Practice and Culture. University of Chicago Press, Chicago, pp. 429–465 (1992)
112. Traweek, S.: Generating High Energy Physics in Japan: Moral Imperatives of a Future Pluperfect. In: Kaiser, D. (ed.) Pedagogy and Practice in Physics. MIT Press, Cambridge, MA (2004)
113. Ucla, O.I.P.: Social entrepreneurship: nexleaf takes it to the next level. Invent. Intell. Prop. News 2, 3 (2010)
114. Vermeulen, N.: Supersizing Science: On Building Large-Scale Research Projects in Biology. Universal-Publishers Boca Raton, FL (2010)
115. Wallis, J.C.: The Distribution of Data Management Responsibility within Scientific Research Groups (2012). http://search.proquest.com/docview/1029942726/abstract?accountid=14512
116. Wallis, J.C., Borgman, C.L.: Who is Responsible for Data? An Exploratory Study of Data Authorship, Ownership, and Responsibility. Annual Meeting of the American Society for Information Science & Technology, Information Today, pp. 1–10 (2011)
117. Wallis, J.C., Borgman, C.L., Mayernik, M.S., Pepe, A.: Moving archival practices upstream: an exploration of the life cycle of ecological sensing data in collaborative field research. Int. J. Digit. Curation 3(1), 114–126 (2008)
118. Wallis, J.C., Borgman, C.L., Mayernik, M.S., Pepe, A., Ramanathan, N., Hansen, M.A.: Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries. In: Proceedings of the 11th European Conference on Research and Advanced Technology for Digital Libraries, Berlin: Springer, pp. 380–391 (2007)
119. Wallis, J.C., Rolando, E., Borgman, C.L.: If We Share Data, Will anyone use them? Data sharing and reuse in the long tail of science and technology. PLoS One 8(7), e67332 (2013)
120. Wray, K.B.: Scientific authorship in the age of collaborative research. Stud. Hist. Philos. Sci. Part A 37(3), 505–514 (2006)
121. Wynholds, L.A., Fearon, D.S., Borgman, C.L., Traweek, S.: When Use Cases Are Not Useful: Data Practices, Astronomy, and Digital Libraries. In: Proceedings of the 11th Annual Joint Conference on Digital Libraries, ACM, pp. 383–386 (2011)
122. Wynholds, L.A., Wallis, J.C., Borgman, C.L., Sands, A.E., Traweek, S. Data, Data Use, and Scientific Inquiry: Two Case Studies of Data Practices. In: Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, Association for Computing Machinery, pp. 19–22 (2012)
123. York, D.G., Adelman, J., Anderson, J.E., et al.: The sloan digital sky survey: technical summary. Astron. J. 120, 1579–1587 (2000)
124. Zooniverse. Galaxy Zoo. 2014. http://www.galaxyzoo.org/