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Using Digital Library Techniques – Registration of Scientific Primary Data

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 3232)

Abstract

Registration of scientific primary data, to make these data citable as a unique piece of work and not only a part of a publication, has always been an important issue. With the new digital library techniques, it is finally made possible. In the context of the project “Publication and Citation of Scientific Primary Data” founded by the German research foundation (DFG) the German national library of science and technology (TIB) has become the first registration agency worldwide for scientific primary data. The datasets receive unique DOIs and URNs as citable identifiers and all relevant metadata information is stored at the online library cataloque. Registration has started for the field of earth science, but will be widened for other subjects in 2005.

In this paper we will give you a quick overview about the project and the registration of primary data.

Keywords

  • Primary Data
  • German Research Foundation
  • Metadata Schema
  • Metadata Element
  • Library Catalogue

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Committee on Data for Science and Technology, http://www.codata.org

  2. Deutsche Forschungsgemeinschaft (German research foundation) homepage, http://www.dfg.de

  3. International DOI foundation website, http://www.doi.org

  4. The Handle System homepage, http://www.handle.net

  5. Plott, C., Ball, R.: Die Identifizierung von Online. Publikationen in B.I.T. journal 1, 11–20 (2004)

    Google Scholar 

  6. Die Deutsche Bibliothek (German library) homepage, http://www.ddb.de

  7. Project, Enhancement of Persistent Identifier Services - Comprehensive Method for unequivocal Resource Identification homepage, http://www.persistent-identifier.de/

  8. The Dublin Core Metadata Initiative, http://dublincore.org/

  9. Learning Technology Standards Comittee of the IEEE: Draft Standard for Learning Objects Metadata IEEE P1484.12.1/D6.412. (June 2002), http://ltsc.ieee.org/doc/wg12/LOM1484121v1FinalDraft.pdf/

  10. Council for the Central Laboratory of the Research Councils CLRC. Scientific Metadata Model, http://www-dienst.rl.ac.uk/library/2002/tr/dltr-2002001.pdf

  11. World data center climate (WDCC) homepage, http://www.mad.zmaw.de/wdcc/

  12. Geoforschungszentrum Potsdam (GFZ) homepage, http://www.gfz-potsdam.de

  13. Alfred Wegener Institute (Marum/AWI) homepage, http://www.awi-bremerhaven.de

  14. Deutsches Klima Rechenzentrum (DKRZ) homepage, http://www.dkrz.de

  15. Max Plank Institute for Meteorology (MPIM) homepage, http://www.mpimet.mpg.de/

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© 2004 Springer-Verlag Berlin Heidelberg

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Brase, J. (2004). Using Digital Library Techniques – Registration of Scientific Primary Data. In: Heery, R., Lyon, L. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2004. Lecture Notes in Computer Science, vol 3232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30230-8_44

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  • DOI: https://doi.org/10.1007/978-3-540-30230-8_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23013-7

  • Online ISBN: 978-3-540-30230-8

  • eBook Packages: Springer Book Archive