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DataCite – Persistent links to scientific data

DataCite – Persistent links to scientific data. Jan Brase, DataCite – TIB 1st PRELIDA workshop PISA, June 26th. What if any kind of scientific content would be citable?. High visability of the content Easy re-use and verification.

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DataCite – Persistent links to scientific data

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  1. DataCite – Persistent links to scientific data Jan Brase, DataCite – TIB 1st PRELIDA workshop PISA, June 26th

  2. What if any kind of scientific content would be citable? • High visability of the content • Easy re-use and verification. • Scientific reputation for the collection and documentation of content (Citation Index) • Encouraging the Brussels declaration on STM publishing • Avoiding duplications • Motivation for new research

  3. DOI names for citations • URLs are not persistent • (e.g. Wren JD: URL decay in MEDLINE- a 4-year follow-up study. Bioinformatics. 2008, Jun 1;24(11):1381-5).  Digital Object Identifiers (DOI names) offer a solution • Mostly widely used identifier for scientific articles • Researchers, authors, publishers know how to use them • Put datasets on the same playing field as articles  • Dataset • Yancheva et al (2007). Analyses on sediment of Lake Maar. PANGAEA. • doi:10.1594/PANGAEA.587840

  4. How to achieve this? • Science is global • it needs global standards • Global workflows • Cooperation of global players • Science is carried out locally • By local scientist • Beeing part of local infrastrucures • Having local funders

  5. 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 content • Providing standards, workflows and best-practice • Initially, but not exclusivly based on the DOI system • Founded December 1st 2009 in London

  6. DataCite 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, Germany • ZBW, Germany • Gesis, Germany • Library of ETH Zürich • L’Institut de l’Information Scientifique • et Technique (INIST), France • Swedish National Data Service (SND) • Australian National Data Service (ANDS) • Conferenza dei Rettori delle Università Italiane (CRUI) • National Research Council of Thailand (NRCT) • Affiliated members: • Digital Curation Center (UK) • Microsoft Research • Interuniversity Consortium for Political and Social Research (ICPSR) • Korea Institute of Science and Technology • Information (KISTI) • Bejiing Genomic Institute (BGI) • IEEE • Harvard University Library

  7. Earth quake events => doi:10.1594/GFZ.GEOFON.gfz2009kciu Climate models => doi:10.1594/WDCC/dphase_mpeps Sea bed photos => doi:10.1594/PANGAEA.757741 Distributes samples => doi:10.1594/PANGAEA.51749 Medical case studies => doi:10.1594/eaacinet2007/CR/5-270407 Computational model => doi:10.4225/02/4E9F69C011BC8 Audio record => doi:10.1594/PANGAEA.339110 Grey Literature => doi:10.2314/GBV:489185967 Videos => doi:10.3207/2959859860 What type of data are we talking about? Anything that is the foundation of further reserach is research data Data is evidence

  8. DataCite in 2013 • Over 1,700,000 DOI names registered so far • DataCite Metadata schema published (in cooperation with all members) http://schema.datacite.org • DataCite MetadataStore • http://search.datacite.org

  9. DataCite search • Searchterm: * • Searchterm: uploaded:[NOW-7DAY TO NOW] • Searchterm: relatedIdentifier:* • Searchterm: relatedIdentifier:issupplementto\:10.1029* • Searchterm:relatedIdentifier:*\:10.1055*

  10. OAI and Statistics • OAI Harvester • http://oai.datacite.org • DataCite statistics (resolution and registration) • http://stats.datacite.org

  11. DataCite Content Service • Service for displaying DataCite metadata • Different formats (BibTeX, RIS, RDF, etc.) • Content Negotation (through MIME-Typ) • Access through DOI proxy (http://dx.doi.org) • First implemented by CNRI and CrossRef: • Documentation: • http://www.crosscite.org/cn/

  12. Content negotiation Optimized for m2m communication using the accept header of the http protocol curl -L -H "Accept: MIME_TYPE" http://dx.doi.org/DOI Try a shortcut out in any webbrowser: http://data.datacite.org/MIME_TYPE/DOI • http://data.crossref.org/DOI

  13. Resolving to the citation • http://data.datacite.org/application/x-datacite+text/10.5524/100005 Li, j; Zhang, G; Lambert, D; Wang, J (2011): Genomic data from Emperor penguin. GigaScience. http://dx.doi.org/10.5524/100005

  14. Resolving to the RDF metadata http://data.datacite.org/application/rdf+xml/10.5524/100005 <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:j.0="http://purl.org/dc/terms/" > <rdf:Description rdf:about="http://dx.doi.org/10.5524/100005"> <j.0:identifier>10.5524/100005</j.0:identifier> <j.0:creator>Li, J</j.0:creator> <j.0:creator>Zhang, G</j.0:creator> <j.0:creator>Wang, J</j.0:creator> <owl:sameAs>doi:10.5524/100005</owl:sameAs> <owl:sameAs>info:doi/10.5524/100005</owl:sameAs> <j.0:publisher>GigaScience</j.0:publisher> <j.0:creator>Lambert, D</j.0:creator> <j.0:date>2011</j.0:date> <j.0:title>Genomic data from the Emperor penguin (Aptenodytes forsteri)</j.0:title> </rdf:Description></rdf:RDF>

  15. Example of use This allows persistent identification of RDF statements! Implemented for all over 45 million CrossRef and DataCite DOI names • Example of use: • DOI Citation Formatter • http://www.crosscite.org/citeproc/

  16. 2012: STM, CrossRef and DataCite Joint Statement • To improve the availability and findability of research data, the signers encourage authors of research papers to deposit researcher validated data in trustworthy and reliable Data Archives. • The Signers encourage Data Archives to enable bi-directional linking between datasets and publications by using established and community endorsed unique persistent identifiers such as database accession codes and DOI's. • 3. The Signers encourage publishers and data archives to make visible or increase visibility of these links from publications to datasets and vice versa 23

  17. Example The dataset: Storz, D et al. (2009): Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic. http://dx.doi.org/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, http://dx.doi.org/10.1016/j.dsr.2008.08.009

  18. Thank you! See you September 2013 in Washington DC

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