2013 DataCite Summer Meeting - Introducing DataCite services (Jan Brase - DataCite)

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Introduction to DataCite services Jan Brase, DataCite 4th DataCite summer meeting Washington DC, September 19th 2013

description

2013 DataCite Summer Meeting - Making Research better DataCite. Co-sponsored by CODATA. Thursday, 19 September 2013 at 13:00 - Friday, 20 September 2013 at 12:30 Washington, DC. National Academy of Sciences http://datacite.eventbrite.co.uk/

Transcript of 2013 DataCite Summer Meeting - Introducing DataCite services (Jan Brase - DataCite)

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Introduction to DataCite services

Jan Brase, DataCite

4th DataCite summer meetingWashington DC, September 19th 2013

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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

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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)

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°

14°

14°

15°

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

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Over 2,00,000 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

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DataCite search

Searchterm: *

Searchterm: uploaded:[NOW-7DAY TO NOW]

Searchterm: relatedIdentifier:*

Searchterm: relatedIdentifier:issupplementto\:10.1029*

Searchterm:relatedIdentifier:*\:10.1055*

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OAI and Statistics

OAI Harvester

http://oai.datacite.org

DataCite statistics (resolution and registration)

http://stats.datacite.org

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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/

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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

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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

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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>

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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/

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ODIN Project

ORCID and DataCite Interoperability Network (http://odin-project.eu/ )

http://datacite.labs.orcid-eu.org/

Use your ORCID to claim your products from the DataCite store

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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

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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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Thank you!