“meaningful services around high-quality
agricultural data pools”
http://wiki.agroknow.gr
• publications, theses, reports, other grey literature• educational material and content, courseware• primary data, such as measurements & observations
– structured, e.g. datasets as tables– digitized, e.g. images, videos
• secondary data, such as processed elaborations– e.g. dendrograms, pie charts
• provenance information, incl. authors, their organizations and projects
• experimental protocols & methods• social data, tags, ratings, etc.• …
agricultural research(+) content
• stats
• gene banks
• gis data
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
educators’ view
• stats
• gene banks
• gis data
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
researchers’ view
• stats
• gene banks
• gis data
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
practioners’ view
is great…but its not the answer
we create data silos
• stats
• gene banks
• gis data
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
we needdata pools
Publisher
Date Catalog
SubjectID
AuthorTitle
actually share metadata
• stats
• gene banks
• gis data
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
main benefit
• avoid duplication of –metadata curation work–technical (software dev) work
demo time• prototyping how this works
– GLN backbone (http://www.greenlearningnetwork.org)
– OER Commons Green micro-site (http://www.oercommons.org/green)
– Organic.Edunet revamp (http://www.greenlearningnetwork.org/organicedunet)
– AgShare Find OER (http://greenlearningnetwork.org/agshareoer)
• more info:– [email protected]– http://wiki.agroknow.gr
