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What the Web Has Done for Scientific Data – and What It Hasn’t

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Advances in Web-Age Information Management (WAIM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3739))

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Abstract

The web, together with database technology, has radically changed the way scientific research is conducted. Scientists now have access to an unprecedented quantity and range of data, and the speed and ease of communication of all forms of scientific data has increased hugely. This change has come at a price. Web and database technology no longer support some of the desirable properties of paper publication, and it has introduced new problems in maintaining the scientific record. This brief paper is an examination of some of these issues.

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References

  1. Benedikt, M., Chan, C.Y., Fan, W., Rastogi, R., Zheng, S., Zhou, A.: DTD-directed publishing with attribute translation grammars. In: VLDB (2002)

    Google Scholar 

  2. Buneman, P., Davidson, S., Fan, W., Hara, C., Tan, W.-C.: Keys for XML. Computer Networks 39(5), 473–487 (2002)

    Article  Google Scholar 

  3. Buneman, P., Khanna, S., Tan, W.-C.: Data Provenance: Some Basic Issues. In: Kapoor, S., Prasad, S. (eds.) FST TCS 2000. LNCS, vol. 1974, pp. 87–93. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  4. Buneman, P., Khanna, S., Tajima, K., Tan, W.-C.: Archiving scientific data. ACM Transactions on Database Systems 27(1), 2–42 (2004)

    Article  Google Scholar 

  5. Cheney, J., Lagoze, C., Botticelli, P.: Toward a theory of information preservation. In: Constantopoulos, P., Sølvberg, I.T. (eds.) ECDL 2001. LNCS, vol. 2163, p. 340. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  6. C ω , http://research.microsoft.com/Comega/

  7. Chiticariu, L., Tan, W.-C., Vijayvargiya, G.: An annotation management system for relational databases. In: VLDB (2004)

    Google Scholar 

  8. Cui, Y., Widom, J.: Lineage tracing for general data warehouse transformations. In: Proc. of 27th International Conference on Very Large Data Bases (VLDB 2001), Rome, Italy (September 2001)

    Google Scholar 

  9. Fernandez, M.F., Tan, W.C., Suciu, D.: SilkRoute: trading between relations and XML. Computer Networks 33(1-6), 723–745 (2000)

    Article  Google Scholar 

  10. Gray, J.: Distributed computing economics. In: Herbert, A., Sparck Jones, K. (eds.) Computer Systems Theory, Technology, and Applications, A Tribute to Roger Needham, pp. 93–101. Springer, Heidelberg (2004)

    Google Scholar 

  11. Millerand, R.J., Hernández, M.A., Haas, L.M., Yan, L., Ho, C.T.H., Fagin, R., Popa, L.: The clio project: Managing heterogeneity. SIGMOD Record 30(1) (March 2001)

    Google Scholar 

  12. Hey, T., Trefethen, A.: The data deluge: An e-science perspective, referenced July 20 (2005), http://www.rcuk.ac.uk/escience/documents/report_datadeluge.pdf

  13. Lesk, M.: referenced July 22 (2005), archiv.twoday.net/stories/337419/

  14. Ludäscher, B., Marciano, R., Moore, R.: Towards self-validating knowledge-based archives. In: 11th Workshop on Research Issues in Data Engineering (RIDE), Heidelberg, Germany. IEEE Computer Society, Los Alamitos (2001)

    Google Scholar 

  15. Reference model for an open archival information system (oais). CCSDS 650.-B-1. Blue Book. Issue 1. Washington D.C (January 2002), http://www.ccsds.org/documents/pdf/CCSDS-650.0-B-1.pdf

  16. Pottinger, R.A., Bernstein, P.A.: Merging models based on given correspondences. In: VLDB (2003)

    Google Scholar 

  17. Stein, L.D., Eddy, S., Dowell, R.: Distributed Sequence Annotation System (DAS), http://www.biodas.org/documents/spec.html

  18. Szomszor, M., Moreau, L.: Recording and reasoning over data provenance in web and grid services. In: Meersman, R., Tari, Z., Schmidt, D.C. (eds.) CoopIS 2003, DOA 2003, and ODBASE 2003. LNCS, vol. 2888, pp. 63–620. Springer, Heidelberg (2003)

    Google Scholar 

  19. Wadler, P.: The links project, http://homepages.inf.ed.ac.uk/wadler/papers/links/links-blurb.pdf

  20. XML Schema Part 1: Structures Second Edition, http://www.w3.org/TR/xmlschema-1/

  21. XQuery 1.0: An XML Query Language, http://www.w3.org/TR/xquery/

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Buneman, P. (2005). What the Web Has Done for Scientific Data – and What It Hasn’t. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_1

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  • DOI: https://doi.org/10.1007/11563952_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29227-2

  • Online ISBN: 978-3-540-32087-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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