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Little science confronts the data deluge: habitat ecology, embedded sensor networks, and digital libraries

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Abstract

e-Science promises to increase the pace of science via fast, distributed access to computational resources, analytical tools, and digital libraries. “Big science” fields such as physics and astronomy that collaborate around expensive instrumentation have constructed shared digital libraries to manage their data and documents, while “little science” research areas that gather data through hand-crafted fieldwork continue to manage their data locally. As habitat ecology researchers begin to deploy embedded sensor networks, they are confronting an array of challenges in capturing, organizing, and managing large amounts of data. The scientists and their partners in computer science and engineering make use of common datasets but interpret the data differently. Studies of this field in transition offer insights into the role of digital libraries in e-Science, how data practices evolve as science becomes more instrumented, and how scientists, computer scientists, and engineers collaborate around data. Among the lessons learned are that data on the same variables are gathered by multiple means, that data exist in many states and in many places, and that publication practices often drive data collection practices. Data sharing is embraced in principle but little sharing actually occurs, due to interrelated factors such as lack of demand, lack of standards, and concerns about publication, ownership, data quality, and ethics. We explore the implications of these findings for data policy and digital library architecture. Research reported here is affiliated with the Center for Embedded Networked Sensing.

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References

  1. Akyildiz I.F., Su W., Sankarasubramaniam Y. and Cayirci E. (2002). Wireless sensor networks: A survey. Comput. Networks 38: 393–422

    Article  Google Scholar 

  2. Allaby, M. (ed.) (2006). A Dictionary of Ecology, 3rd ed. Oxford University Press, Oxford

    Google Scholar 

  3. ArXiv.org e-Print archive (2006). http://arxiv.org/. Visited 27 April 2006

  4. Arzberger P., Schroeder P., Beaulieu A., Bowker G., Casey K., Laaksonen L., Moorman D., Uhlir P. and Wouters P. (2004). An international framework to promote access to data. Science 303(5665): 1777–1778

    Article  Google Scholar 

  5. Bekaert, J., Van de Sompel, H.: Access interfaces for open archival information systems based on the OAI-PMH and the OpenURL framework for context-sensitive services. In: PV 2005: Ensuring Long-term Preservation and Adding Value to Scientific and Technical data. The Royal Society, Edinburgh (2006). http://www.ukoln.ac.uk/events/pv-2005/pv-2005-final-papers/032.pdf. Visited 28 Sept 2006

  6. Bishop, A.P., Van House, N., Buttenfield, B.P. (eds.) (2003). Digital Library Use: Social Practice in Design and Evaluation. MIT Press, Cambridge, MA

    Google Scholar 

  7. Borgman, C.L.: The Interaction of community and individual practices in the design of a digital library. In: International Symposium on Digital Libraries and Knowledge Communities in Networked Information Society, University of Tsukuba, Tsukuba, Ibaraki, Japan (2004). http://www.kc.tsukuba.ac.jp/dlkc/e-proceedings/papers/dlkc04pp9.pdf. Visited 10 April 2006

  8. Borgman C.L. (2006). What can studies of e-Learning teach us about e-Research? Some findings from digital library research. J. Comput. Supp. Cooperative Work 15(4): 359–383

    Article  Google Scholar 

  9. Borgman C.L. (2007). Scholarship in the Digital Age: Information, Infrastructure and the Internet. MIT Press, Cambridge, MA

    Google Scholar 

  10. Borgman, C.L., Wallis, J.C., Enyedy, N.: Building digital libraries for scientific data: An exploratory study of data practices in habitat ecology. In: 10th European Conference on Digital Libraries, Alicante, Spain, Springer (2006)

  11. Borgman, C.L., Bates, M.J., Cloonan, M.V., Efthimiadis, E.N., Gilliland-Swetland, A. J., Kafai, Y., Leazer, G. L., Maddox, A.: Social Aspects of Digital Libraries. Final Report to the National Science Foundation; Computer, Information Science, and Engineering Directorate; Division of Information, Robotics, and Intelligent Systems; Information Technology and Organizations Program (1996). http://is.gseis.ucla.edu/research/dl/index.html. Visited 28 Sept 2006

  12. Botts, M.: Sensor Model Language (SensorML) for in-situ and remote sensors: Version 1.0.0 beta. Recommended paper, no. OGC 04-019r2.Open Geospatial Consortium (2004)

  13. Botts, M.: Sensor Modelling Language (SensorML) Status (2006). http://stromboli.nsstc.uah.edu/SensorML/status.html. Visited 20 Nov 2006

  14. Botts, M., McKee, L.: A Sensor Model Language: Moving sensor data onto the Internet. Sensors 20(Issue) (2003). Visited http://www.sensorsmag.com/articles/0403/30/main.shtml. Visited 20 Nov 2006

  15. Bowker G.C. (2000). Mapping biodiversity. Int. J. Geograph. Inform. Sci. 14(8): 739–754

    Article  Google Scholar 

  16. Bowker G.C. (2000). Biodiversity datadiversity. Social Studies of Science 30(5): 643–683

    Article  Google Scholar 

  17. Bowker, G.C.: Work and information practices in the sciences of biodiversity. In: VLDB 2000, Proceedings of 26th International Conference on Very Large Data Bases, Cairo, Egypt, Kaufmann (2000)

  18. Bowker G.C. (2005). Memory Practices in the Sciences. MIT Press, Cambridge, MA

    Google Scholar 

  19. Chudnov, D., Cameron, R., Frumkin, J., Singer, R., Yee, R.: Opening up openURLs with autodiscovery. Ariadne (43) (2005). http://www.ariadne.ac.uk/issue43/chudnov/. Retrieved 29 Sept 2006

  20. Collaborative Large-Scale Engineering Analysis Network for Environmental Research (2006). http://cleaner.ncsa.uiuc.edu/home/. Visited 16 Aug 2006

  21. Consortium of Universities for Advancement of Hydrologic Science. (2006) http://www.cuahsi.org. Visited 15 Nov 2006

  22. Culler D.E. and Hong W. (2004). Wireless sensor networks. Commun. ACM 47(6): 30–33

    Article  Google Scholar 

  23. Cummings, J. N., Kiesler, S.: Collaborative research across disciplinary and organizational boundaries. Soc. Stud. Sci. 35(5), 703–722 (2005). Retrieved from < Go to ISI>://000232598300003

  24. David, P.A., Spence, M.: Towards institutional infrastructures for e-Science: the scope of the challenge. Oxford Internet Institute Research Reports, University of Oxford. http://129.3.20.41/eps/le/papers/0502/0502002.pdf. Visited 30 Sept 2006

  25. Document Action: ‘The “info” URI Scheme for Information Assets with Identifiers in Public Namespaces’ to Informational RFC: Internet Engineering Task Force (2005). http://www1.ietf.org/mail-archive/web/ietf-announce/current/msg01746.html. Visited 8 Mar 2006

  26. Ecological Metadata Language (2004). http://knb.ecoinformatics.org/software/eml/. Visited 25 Nov 2004

  27. Elson J. and Estrin D. (2004). Sensor networks: a bridge to the physical world. In: Raghavendra, C.S., Sivalingam, K.M. and Znati, T.F. (eds) Wireless Sensor Networks. Kluwer Academic, Boston

    Google Scholar 

  28. Engeström Y. (1987). Learning by Expanding: An Activity-Theoretical Approach to Developmental Research. Orienta-Konsultit, Helsinki

    Google Scholar 

  29. Engeström, Y., Miettinen, R., Punamaeki , R.-L. (eds.) (1999). Perspectives on Activity Theory. Cambridge University Press, New York

    Google Scholar 

  30. Esanu, J.M., Uhlir, P.F. (eds.): Open Access and the Public Domain in Digital Data and Information for Science: Proceedings of an International Symposium. The National Academies Press, Washington, DC (2004) http://books.nap.edu/catalog/11030.html. Visited 30 Sept 2006

  31. Estrin, D., Michener, W.K., Bonito,G.: Environmental cyberinfrastructure needs for distributed sensor networks: A report from a National Science Foundation sponsored workshop. Scripps Institute of Oceanography (2003). http://www.lternet.edu/sensor_report/. Visited 12 May 2006

  32. Finholt, T.A.: Collaboratories as a new form of scientific organization. Econ. Innovat. New Technol. 12(January) (2003)

  33. Ginsparg, P.: Creating a global knowledge network. Second Joint ICSU Press – UNESCO Expert Conference on Electronic Publishing in Science, Paris, UNESCO (2001). http://people.ccmr.cornell.edu/∼ginsparg/blurb/pg01unesco.html. Visited 12 May 2006

  34. Glaser B.G. and Strauss A.L. (1967). The Discovery of Grounded Theory; Strategies for Qualitative Research. Aldine Pub. Co., Chicago

    Google Scholar 

  35. Global Earth Observation System of Systems (2006). http://www.epa.gov/geoss/. Visited 30 April 2006

  36. Global Ocean Observing System (2006). http://www.ioc-goos.org/. Visited 5 June 2006

  37. Godby, C.J., Young, J.A., Childress, E.: A repository of metadata crosswalks. D-Lib Mag. 10(12) (2004). http://www.dlib.org/dlib/december04/godby/12godby.html. Retrieved 22 May 2006

  38. Gray, J., Liu, D.T., Nieto-Santisteban, M., Szalay, A., DeWitt, D., Heber, G.: Scientific data management in the coming decade. CT Watch Quart. 1(1) (2005). http://www.ctwatch.org/quarterly/articles/2005/02/scientific-data-management/. Retrieved 25 Aug 2006

  39. Hey, T., Trefethen, A.: The data deluge: an e-Science perspective. Grid Computing—Making the Global Infrastructure a Reality. Wiley (2003). http://www.rcuk.ac.uk/escience/documents/report_datadeluge.pdf. Visited 20 Jan 2005

  40. Hey T. and Trefethen A. (2005). Cyberinfrastructure and e-Science. Science 308: 818–821

    Article  Google Scholar 

  41. Hilgartner S. and Brandt-Rauf S.I. (1994). Data access, ownership and control: toward empirical studies of access practices. Knowledge 15: 355–372

    Google Scholar 

  42. Hodge, G., Frangakis, E.: Digital preservation and permanent access to scientific information: the state of the practice. In: The International Council for Scientific and Technical Information (ICSTI) and CENDI: U.S. Federal Information Managers Group (2005). http://cendi.dtic.mil/publications/04-3dig_preserv.html. Visited 30 Sept 2006

  43. Integrated Ocean Observing System (2006). http://www.ocean.us/what_is_ioos. Visited 5 June 2006

  44. International Virtual Observatory Alliance (2006). http://www.ivoa.net/. Visited 30 Sept 2006

  45. James San Jacinto Mountains Reserve: University of California (2004). http://www.jamesreserve.edu/. Visited 30 Nov 2004

  46. Kwa C. (2005). Local ecologies and global science: discourses and strategies of the International Geosphere-Biosphere Programme. Soc. Stud. Sci. 35(6): 923–950

    Article  Google Scholar 

  47. Latour B. (1987). Science in Action: How to Follow Scientists and Engineers through Society. Harvard University Press, Cambridge, MA

    Google Scholar 

  48. Latour B. and Woolgar S (1986). Laboratory Life: The Construction of Scientific Facts, 2nd edn. Princeton University Press, Princeton

    Google Scholar 

  49. Lofland J., Snow D., Anderson L. and Lofland L.H. (2006). Analyzing Social Settings: A Guide to Qualitative Observation and Analysis. Wadsworth/Thomson Learning, Belmont, CA

    Google Scholar 

  50. Long-Lived Digital Data Collections: Enabling Research and Education for the 21st Century: National Science Board (2005). http://www.nsf.gov/nsb/documents/2005/LLDDC_report.pdf. Visited 1 October 2006

  51. Lord, P., Macdonald, A.: e-Science Curation Report-Data Curation for e-science in the UK: An Audit to Establish Requirements for Future Curation and Provision. JISC Committee for the Support of Research (2003). http://www.jisc.ac.uk/uploaded_documents/e-scienceReportFinal.pdf.Visited 1 October 2006

  52. Maurer J. (2004). Models of Scientific Inquiry and Statistical Practice: Implications for the structure of scientific knowledge. In: Taper, M.L., Lele, S.R. and Znati, T.F. (eds) The Nature of Scientific Evidence: Statistical, philosophical, and empirical considerations., pp 17–50. The University of Chicago Press, Chicago, London

    Google Scholar 

  53. Michener, W.K., Brunt, J.W. (eds.) (2000). Ecological Data: Design, Management and Processing. Blackwell Science, Oxford

    Google Scholar 

  54. National Ecological Observatory Network (2006). http://neoninc.org/. Visited 3 October 2006

  55. National Office for Integrated and Sustained Ocean Observations (2006). http://www.ocean.us/. Visited 5 June 2006

  56. Object Reuse and Exchange (2006). http://www.openarchives.org/ore/. Visited 15 Nov 2006

  57. Olson, G.M.: Long distance collaborations in science: Challenges and opportunities. In: First International Conference on e-Social Science, Manchester, UK, National Center for e-Social Science (2005) http://www.ncess.ac.uk/events/conference/ 2005/papers/presentations/ncess2005_olson.pdf. Visited 20 Nov 2006

  58. Olson G.M. and Olson J.S. (2000). Distance matters. Human–Comput Interact. 15(2–3): 139–178

    Article  Google Scholar 

  59. Pottie G.J. and Kaiser W.J. (2000). Wireless integrated network sensors. Commun. ACM 43(5): 51–58

    Article  Google Scholar 

  60. Pottie G.J. and Kaiser W.J. (2006). Principles of Embedded Networked Systems Design. Cambridge University Press, Cambridge

    Google Scholar 

  61. Price D.J.d.S. (1963). Little Science, Big Science. Columbia University Press, New York

    Google Scholar 

  62. Pritchard, S.M., Carver, L., Anand, S.: Collaboration for knowledge management and campus informatics. University of California, Santa Barbara (2004). http://www.library.ucsb.edu/informatics/informatics/documents/UCSB_Campus_ Informatics_Project_Report.pdf. Visited 5 July 2006

  63. Reference Model for an Open Archival Information System: Recommendation for Space Data System Standards, Consultative Committee for Space Data Systems Secretariat, Program Integration Division (Code M-3), National Aeronautics and Space Administration (2002). http://public.ccsds.org/publications/archive/650x0b1.pdf. Visited 4 October 2006

  64. Sandoval W.A. and Reiser B.J. (2003). Explanation-driven inquiry: integrating conceptual and epistemic supports for science inquiry. Sci. Educat. 87: 1–29

    Article  Google Scholar 

  65. Schnase, J.L., Lane, M.A., Bowker, G.C., Star, S.L., Silberschatz, A.: Building the next generation biological information infrastructure. In: Raven, P.H., Williams, T., (eds.). Nature and Human Society: The Quest for a Sustainable World. National Academy Press, Washington, DC, pp. 291–300. http://darwin.nap.edu/books/0309065550/html. Visited 4 October 2006

  66. Sensor Modeling Language (2005). http://vast.uah.edu/SensorML/. Visited 16 Jan2006

  67. Shankar, K.: Scientific data archiving: the state of the art in information, data, and metadata management (2003). http://cens.ucla.edu/Education/index.html. Visited 19 Jan 2005

  68. Sharing Data from Large-scale Biological Research Projects: a System of Tripartite Responsibility: Meeting organized by the Wellcome Trust, Fort Lauderdale, Florida, Wellcome Trust (2003). http://www.wellcome.ac.uk/assets/wtd003207.pdf. Visited 25 July 2005

  69. Sonnenwald, D.H.: Scientific collaboration: challenges and solutions. In: Cronin, B. (ed.) Annual Review of Information Science and Technology. Information Today, Medford, NJ, Vol. 41, pp. 643–682 (2007)

  70. Southern California Coastal Ocean Observing System (2006). http://www.sccoos.org\ . Visited 5 June 2006

  71. Thadani, V., Cook, M., Millwood, K., Harven, A., Fields, D., Griffis, K., Wise, J., Kim, K., Sandoval, W.A.: Eyes on the prize: considering how design research can lead to sustainable innovation. Paper presented at the Annual Meeting of the American Educational Research Assn., San Francisco, April 7–12 (2006)

  72. Traweek S. (1992). Beamtimes and Lifetimes: The World of High Energy Physicists, 1st Harvard University Press pbk. edn. Harvard University Press, Cambridge

    Google Scholar 

  73. Traweek S. (2004). Generating high energy physics in Japan. In: Kaiser, D. (eds) Pedagogy and Practice in Physics., pp. University of Chicago Press, Chicago

    Google Scholar 

  74. U.S. Long Term Ecological Research Network (2006). http://lternet.edu/. Visited 5 June 2006

  75. Van de Sompel, H., Nelson, M.L., Lagoze, C., Warner, S.: Resource harvesting within the OAI-PMH framework. D-Lib Mag. 10(12) (2004). http://www.dlib.org/dlib/december04/vandesompel/12vandesompel.html. Retrieved 5 October 2006

  76. Van de Sompel, H., Hammond, T., Neylon, E., Weibel, S.L.: RFC 4452: The “info” URI Scheme for Information Assets with Identifiers in Public Namespaces. Requests for Comments, Internet Engineering Task Force (2006). http://www.rfc-archive.org/getrfc.php?rfc=4452. Visited 5 October 2006

  77. Van House, N.A. (2003). Digital libraries and collaborative knowledge construction. In: Bishop, A.P. and Buttenfield, B.P. (eds) Digital Library Use: Social Practice in Design and Evaluation., pp 271–296. MIT Press, Cambridge

    Google Scholar 

  78. Wallis, J.C., Milojevic, S., Borgman, C.L., Sandoval, W.A.: The special case of scientific data sharing with education. American Society for Information Science& Technology. Information Today, Austin (2006)

  79. Weinberg A.M. (1961). Impact of large-scale science on the United States. Science 134(3473): 161–164

    Article  Google Scholar 

  80. Zimmerman, A.: (in press). Not by metadata alone: The use of diverse forms of knowledge to locate data for reuse. Int. J. Dig. Lib.

  81. Zimmerman, A., Nardi, B.: Whither or whether HCI: Requirements analysis for multi-sited, multi-user cyberinfrastructures. CHI 2006, Montreal, Association for Computing Machinery, pp. 1601–1606 (2006)

  82. Zimmerman, A.S.: Data Sharing and Secondary Use of Scientific Data: Experiences of Ecologists. School of Information, University of Michigan, Ann Arbor, MI (2003)

  83. Zimmerman, A.S.: (in press). New knowledge from old data. The role of standards in the sharing and reuse of ecological data. Sci. Technol. Human Values

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Authors and Affiliations

  1. Department of Information Studies, Graduate School of Education & Information Studies, UCLA, Los Angeles, CA, USA

    Christine L. Borgman

  2. Center for Embedded Networked Sensing, UCLA, Los Angeles, CA, USA

    Jillian C. Wallis

  3. Department of Education, Graduate School of Education & Information Studies, UCLA, Los Angeles, CA, USA

    Noel Enyedy

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  1. Christine L. Borgman
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  3. Noel Enyedy
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Correspondence to Christine L. Borgman.

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Borgman, C.L., Wallis, J.C. & Enyedy, N. Little science confronts the data deluge: habitat ecology, embedded sensor networks, and digital libraries. Int J Digit Libr 7, 17–30 (2007). https://doi.org/10.1007/s00799-007-0022-9

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