Organic Eprints

类型
Type of service: 

The Organic Eprints archive has been developed by the International Centre for Research in Organic Food Systems, ICROFS, (previously Danish Research Centre for Organic Farming - DARCOF) since 2002. In 2003 the Research Institute of Organic Agriculture (FiBL) joined the project as its first international partner with editorial responsibilities for the German language region and responsibility for the German language version of Organic Eprints.

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URL: 
http://www.orgprints.org
Started in: 
2002
Owner: 
International Centre for Research in Organic Food Systems
Contact email: 
eprints@orgprints.org
Contact email: 
ilsea.rasmussen@icrofs.org
Geographic coverage: 
Global
Region (location): 
Europe
Thematic coverage
Domain(s): 
Other subject(s): 
Percentage of records about agricultural topics: 
100%
Type of information managed: 
Type of information managed: 
语言: 
Chinese
语言: 
Danish
语言: 
Dutch
语言: 
English
语言: 
Estonian
语言: 
French
语言: 
German
语言: 
Italian
语言: 
Norwegian
语言: 
Portuguese
语言: 
Russian
语言: 
Slovenian
语言: 
Spanish
语言: 
Swedish
语言: 
Turkish
Audience: 
Academic world
Audience: 
Donors
Audience: 
Extensionists
Audience: 
Farmers
Audience: 
General interest
Audience: 
Information professionals
Audience: 
Managers
Audience: 
Researchers
Access / licensing / pricing: 
Access / licensing / pricing: 
Percentage of full text documents: 
Between 75% and 99%
Number of records: 
11,000
Standards & technologies
This section provides information on the technologies used and the standards with which the service is compliant, with indication of the metadata sets, formats and protocols adopted for input in the system and those adopted for output.

Software: 
Output metadata set(s): 
Dublin Core Metadata Element Set (DCES)
Output format / notation: 
Output protocols / architectures: 
Instructions
This section provides detailed instructions on how the service can be interoperated, e.g. the URLs, the parameters, the output format etc.

Instructions for getting information from this service: 

Information can be harvested using OAI-PMH. Further information at http://orgprints.org/cgi/oai2?verb=Identify.