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DataCite: The International Data Citation Initiative

This study highlights the challenges in linking articles with datasets and the need for better data citation methods. Datasets are difficult to discover, leading to potential loss and management issues post-funding. Informal networks are primary for data sharing, and few use national or international facilities. The persistence and unambiguous identification of datasets are crucial for citation and impact analysis.

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DataCite: The International Data Citation Initiative

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  1. DataCite: The International Data Citation Initiative Max Wilkinson Datasets Programme Manager, The British Library May 2011

  2. No effective way to link between datasets and articles No widely used method to identify datasets No widely used method to cite datasets Widening gap Articles Underlying data

  3. Datasets are: Difficult to discover Difficult to access Being lost As a result…

  4. Data is difficult to manage after project funding ceases Informal networks provide the primary means of sharing Only 21% use a national or international facility Datasets are not included in impact analysis Good luck finding it or getting permission to use it (your discipline may vary) Source: UKRDS Study Datasets – first class citizens?

  5. Responding to the challenge

  6. Supporting Data Citation Requires…. • Persistent • Identification Ambiguous Identification Rarely persistent

  7. Persistence

  8. doi:10.4124/0003.569 Prefix Suffix Identification DataCite DOI DataCite Metadata Store Irino, T; Tada, R (2009): Chemical and mineral compositions of sediments from ODP Site 127-797. Geological Institute, University of Tokyo.doi:10.1594/PANGAEA.726855.

  9. For Whom?

  10. Summer Meeting: 24-25 August. Berkeley, California max.wilkinson@bl.uk jan.brase@tib.uni-hannover.de Thanks www.datacite.org

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