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Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
Jan Brase: Data and Libraries - the DataCite consortium
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Jan Brase: Data and Libraries - the DataCite consortium

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Today libraries face more and new challenges when enabling access to information. The growing amount of information in combination with new non-textual media-types demands a constant changing of grown …

Today libraries face more and new challenges when enabling access to information. The growing amount of information in combination with new non-textual media-types demands a constant changing of grown workflows and standard definitions. Knowledge, as published through scientific literature, is the last step in a process originating from primary scientific data. These data are analysed, synthesised, interpreted, and the outcome of this process is published as a scientific article. Access to the original data as the foundation of knowledge has become an important issue throughout the world and different projects have started to find solutions.
Nevertheless science itself is international; scientists are involved in global unions and projects, they share their scientific information with colleagues all over the world, they use national as well as foreign information providers.
When facing the challenge of increasing access to research data, a possible approach should be global cooperation for data access via national representatives:
* a global cooperation, because scientists work globally, scientific data are created and accessed globally.
* with national representatives, because most scientists are embedded in their national funding structures and research organisations.
DataCite was officially launched on December 1st 2009 in London and has 12 information institutions and libraries from nine countries as members. By assigning DOI names to data sets, data becomes citable and can easily be linked to from scientific publications.
Data integration with text is an important aspect of scientific collaboration. DataCite takes global leadership for promoting the use of persistent identifiers for datasets, to satisfy the needs of scientists. Through its members, it establishs and promotes common methods, best practices, and guidance. The member organisations work independently with data centres and other holders of research data sets in their own domains. Based on the work of the German National Library of Science and Technology (TIB) as the first DOI-Registration Agency for data, DataCite has registered over 850,000 research objects with DOI names, thus starting to bridge the gap between data centers, publishers and libraries.
This presentation will introduce the work of DataCite and give examples how scientific data can be included in library catalogues and linked to from scholarly publications.

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  • Started in 2004 with a DFG funded project lead by TIB and including three World Data Centres (STD-DOI Scientific Technical Data with DOIs)
  • Transcript

    • 1. Data and libraries – the DataCite consortium Jan Brase, TIB - DataCite December 13th, 2010 Open Access Open Data Conference, Köln
    • 2.
      • I
      • Data and Libraries
    • 3. Science Paradigms
      • Thousand years ago: science was empirical
        • describing natural phenomena
      • Last few hundred years: theoretical branch
        • using models, generalizations
      • Last few decades: a computational branch
        • simulating complex phenomena
      • Today: data exploration (eScience)
        • unify theory, experiment, and simulation
      • Jim Gray , eScience Group, Microsoft Research
    • 4. Consequences for Libraries
      • Scientific Information is more than a published article or a book
      • Libraries should open their cataolgues to this non-textual information
      • The catalogue of the future is NOT ONLY a window to the library‘s holding, but
      • A portal in a net of trusted providers of scientific content
    • 5. Consequences for Libraries We do not have it BUT We know where you can find it And here is the link to it!
    • 6. Vision 2015
    • 7.
      • Examples
    • 8.  
    • 9.  
    • 10.  
    • 11.  
    • 12.  
    • 13.  
    • 14.  
    • 15.  
    • 16.
      • II
      • Persistent identification and citation
    • 17. A key component for non-textual information Persistent Identification Make Visible Find Access Track Impact Verify Reuse Cite ?
    • 18. Results
      • Citability of research data
      • High visability of the data
      • Easy re-use and verification of the data sets.
      • Scientific reputation for the collection and documentation of data (Citation Index)
      • Encouraging the Brussels declaration on STM publishing and the Rules of good scientific practise (DFG)
      • Avoiding duplications
      • Motivation for new research
    • 19. Dataset citation using the DOI system
      • The DOI system offers an easy way to connect the article with the underlying data:
        • The dataset:
        • Storz, D et al. (2009):
        • Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic .
        • doi:10.1594/PANGAEA.724325
        • Is supplement to the article:
        • Storz, David; Schulz, Hartmut; Waniek, Joanna J; Schulz-Bull, Detlef; Kucera, Michal (2009): Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current.
        • Deep-Sea Research Part I-Oceanographic Research Papers, 56(1), 107-124,
        • doi:10.1016/j.dsr.2008.08.009
    • 20.  
    • 21.  
    • 22.
      • III
      • The DataCite consortium
    • 23. Status
      • Since 2005 TIB was acting as a DOI registration agency. Since 2010 TIB is managing DataCite, a global consortium of now 15 libraries and information institutions,
      • Over 900,000 records registered with DOI names so far
        • ~750,000 Datasets
        • ~15,000 Video clips
        • ~140,000 grey literature
      • DataCite is Winner of 2010 Rethinking Resource Sharing Innovation Award
    • 24. DataCite
      • Global consortium carried by local institutions
      • focused on improving the scholarly infrastructure around datasets and other non-textual information
      • focused on working with data centres and organisations that hold data
      • Providing standards, workflows and best-practice
      • Initially, but not exclusivly based on the DOI system
      • Founded December 1st 2009 in London
    • 25. Rapid progress builds on foundational work
        • TIB begins to issue DOI names for datasets
        • Paris Memo-randum
        • DataCite Asso-ciation founded in London
        • 7 members
        • 12 members
        • All members assigned DOIs
        • Over 800,000 items registered
        • Pilot projects with Data Centres
      12. 10 05 03. 09 06. 10 12. 09
        • 15 members
        • Shared technical infrastructure- prototype
      03
        • DFG funded project with German WDCs
    • 26. Members
      • Technische Informationsbibliothek (TIB)
      • Canada Institute for Scientific and Technical Information (CISTI),
      • California Digital Library, USA
      • Purdue University, USA
      • Office of Scientific and Technical
      • Information ( OSTI), USA
      • Library of TU Delft,
      • The Netherlands
      • Technical Information
      • Center of Denmark
      • The British Library
      • ZB Med, Deutschland
      • ZBW, Deutschland
      • Gesis, Deutschland
      • Library of ETH Zürich
      • L’Institut de l’Information Scientifique
      • et Technique (INIST), Frankreich
      • Swedish National Data Service (SND)
      • Australian National Data Service (ANDS)
      • Affiliated members:
      • Digital Curation Center (UK)
      • Microsoft Research
      • Interuniversity Consortium for Political and Social Research (ICPSR)
      • Korea Institute of Science and Technology Information (KISTI)
    • 27. DataCite Structure Carries International DOI Foundation DataCite … Works with Managing Agent (TIB) Member Associate Stakeholder Member Institution Data Centre Data Centre Data Centre Member Institution Data Centre Data Centre Data Centre
    • 28. DataCite
      • DataCite supports researchers by enabling them to locate, identify, and cite research datasets with confidence
      • DataCite supports data centres by providing workflows and standards for data publication
      • DataCite supports publisher by e nabling linking from articles to the underlying data
        • http://www.datacite.org

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