Large-scale scientific projects have become a major impetus of scientific advances. But few studies have specifically analyzed how those projects bolster scientific research. We address this question from a scientometrics perspective. By analyzing the bibliographic records of papers relevant to the Sloan Digital Sky Survey (SDSS), we found that the SDSS helped scientists from many countries further develop their own research; investigators initially formed large research groups to tackle key problems, while later papers involved fewer authors; and the number of research topics increased but the diversity of topics remains stable. Furthermore, the entropy analysis method has proven valuable in terms of analyzing patterns of research topics at a macroscopic level.
Abt, HA 1981 Some trends in American astronomical publications. Publications of the Astronomical Society of the Pacific 553:269–272 .
Abt, HA 1990 Trends toward internationalization in astronomical literature. Publications of the Astronomical Society of the Pacific 102:368–372 .
Abt, HA 1994 The current burst in astronomical publications. Publications of the Astronomical Society of the Pacific 106:1015–1017 .
Abt, HA 2000 Astronomical publication in the near future. Publications of the Astronomical Society of the Pacific 112:1417–1420 .
Abt, HA 2007 The frequency of multinational papers in various sciences. Scientometrics 72:105–115 .
Basu, A, Lewison, G 2005 Going beyond journal classification for evaluation of research outputs—A case study of global astronomy and astrophysics research. ASLIB Proceedings 57 3 232–246 .
Chen, C 2006 CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology 57 3 359–377 .
Cover, TM, Thomas, JA 1991 Elements of information theory 99 Wiley New York .
Fernandez, JA 1998 The transition from an individual science to a collective one: The case of astronomer. Scientometrics 42:61–74 .
Garfield, E, Pudovkin, AI, Istomin, VS 2003 Why do we need algorithmic historiography?. Journal of the American Society for Information Science and Technology 54:400–412 .
Gray, J., Liu, D. T., Santisteban, M. N., Szalay, A. S., DeWitt, D., & Heber, G. (2005). Scientific data management in the coming decade. Microsoft Research Technical Report MSR-TR-2005-10. Redmond, WA. http://research.microsoft.com/∼Gray/. Accessed 27 May 2007.
Grupp, H 1990 The concept of entropy in scientometrics and innovation research. Scientometrics 18:219–239 .
Leydesdorff, L, Hellsten, I 2005 Metaphors and diaphors in science communication. Science Communication 27 1 64–99 .
Leydesdorff, L, Hellsten, I 2006 Measuring the meaning of words in contexts: An automated analysis of controversies about ‘Monarch butterflies’, ‘Frankenfoods’, and ‘stem cells’. Scientometircs 67 2 231–285 .
Purvis, A, Hector, A 2000 Getting the measure of biodiversity. Nature 405:212–219 .
Schilling, G. (2001). The virtual observatory moves closer to reality. Science, 289 (5477), 238, July 14.
Schmidt, M., Glaser, J., Havemann, F., & Hewz, M. (2006). A methodological study for measuring the diversity of science. In Proceedings International Workshop on Webometrics, Informetrics and Scientometrics & Seventh COLLNET Meeting (pp. 129–137), Nancy, France.
Small, H 2004 Why authors think their papers are highly cited. Scientometrics 60 3 305–316 .
Swanson, DR, Smalheiser, NR, Torvik, VI 2006 Ranking indirect connections in literature-based discovery: The role of medical subject headings. Journal of American Society of Information Science and Technology 57 11 1427–1439 .
Szalay, A. S. (2001). The national virtual observatory. In F. R. Harnden, F. A. Primini, Jr., & H. E. Payne (eds.), Astronomical Data Analysis Software and Systems X ASP Conference Series, 238, pp. 3–12.
Szalay, A. S., Kunszt, P., Thakar, A., Gray, J., Slutz, D., & Bruner, R. J. (2000). Designing and mining multi-terabyte astronomy archives: The Sloan Digital Sky Survey. In Proceedings of the ACM SIGMOD, Austin, TX, May 2000.
Toutanova, K., Klein, D., Manning, C. D., & Singer, Y. (2003). Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of Human Language Technology Conference and North American Chapter of the Association for Computational Linguistics (HLT-NAACL) (pp. 252–259), Edmonton, Canada, May 2003.
Toutanova, K., & Manning, C. D. (2000). Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-2000) (pp. 63–70), Hong Kong, China, October 2000.
White, SDM 2007 Fundamentalist physics: Why Dark Energy is bad for astronomy. Reports on Progress in Physics 70:883–897 .
York, DG, Adelman, J, Anderson, JE, Anderson, SF, Annis, J, Bahcall, NA et al. 2000 The Sloan Digital Sky Survey: Technical summary. The Astronomical Journal 120:1579–1587 .