DataCite –Persistent links to scientific data
Jan Brase, DataCite – TIB
1st PRELIDA workshopPISA, June 26th
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
What if any kind of scientific content would be citable?
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
DatasetYancheva et al (2007). Analyses on sediment of Lake Maar. PANGAEA.doi:10.1594/PANGAEA.587840
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).
DOI names for citations
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
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
DataCite
1. Technische Informationsbibliothek (TIB)2. Canada Institute for Scientific and Technical Information (CISTI), 3. California Digital Library, USA4. Purdue University, USA5. Office of Scientific and Technical
Information (OSTI), USA6. Library of TU Delft,
The Netherlands7. Technical Information
Center of Denmark8. The British Library9. ZB Med, Germany10. ZBW, Germany11. Gesis, Germany12. Library of ETH Zürich13. L’Institut de l’Information Scientifique
et Technique (INIST), France14. Swedish National Data Service (SND)15. Australian National Data Service (ANDS)16. Conferenza dei Rettori delle Università Italiane (CRUI)17. National Research Council of Thailand (NRCT)
DataCite members
Affiliated members:1. Digital Curation Center (UK)2. Microsoft Research3. Interuniversity Consortium for Political and Social
Research (ICPSR) 4. Korea Institute of Science and Technology
Information (KISTI) 5. Bejiing Genomic Institute (BGI)6. IEEE7. Harvard University Library
IRD
( gr av/ 10 cm 3)
Sand
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CaCO3
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TOC
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Radio
( %/ sand)
Smect
( %/ clay)
IRD
( gr av/ 10 cm 3)
Sand
( %)
CaCO3
( %)
TOC
( %)
Radio
( %/ sand)
Smect
( %/ clay)
IRD
( gr av/ 10 cm 3)
Sand
( %)
CaCO3
( %)
TOC
( %)
Radio
( %/ sand)
Smect
( %/ clay)
IRD
( gr av/ 10 cm 3)
Sand
( %)
CaCO3
( %)
TOC
( %)
Radio
( %/ sand)
Smect
( %/ clay)
IRD
( gr av/ 10 cm 3)
Sand
( %)
CaCO3
( %)
TOC
( %)
Radio
( %/ sand)
Smect
( %/ clay)
PS1389-3 PS1390-3 PS1431-1 PS1640-1 PS1648-1
Age (kyr) max. : 233.55 kyr PS1389-3ff
0.0
100.0
200.0
0 20 0 100 0 15 0 0. 5 0 50 0 100 0 20 0 100 0 15 0 0. 5 0 50 0 100 0 20 0 100 0 15 0 0. 5 0 50 0 100 0 20 0 100 0 15 0 0. 5 0 50 0 100 0 20 0 100 0 15 0 0. 5 0 50 0 100
54° 0' 54° 0'
54°30' 54°30'
55° 0' 55° 0'
55°30' 55°30'
11°
11°
12°
12°
13°
13°
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15°
World vector shore lineGrain size class KOLP AGrain size class KOEHN2Grain size class KOEHNGeochemistryGrain size class KOLP BGrain size class KOLP DIN20 m
Scale: 1:2695194 at Latitude 0°
Source: Baltic Sea Research Institute, Warnemünde.
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
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
DataCite in 2013
DataCite search
Searchterm: *
Searchterm: uploaded:[NOW-7DAY TO NOW]
Searchterm: relatedIdentifier:*
Searchterm: relatedIdentifier:issupplementto\:10.1029*
Searchterm:relatedIdentifier:*\:10.1055*
OAI and Statistics
OAI Harvester
http://oai.datacite.org
DataCite statistics (resolution and registration)
http://stats.datacite.org
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/
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
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
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>
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/
2012: STM, CrossRef and DataCite Joint Statement
1. 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.
2. 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
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
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