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Using controlled vocabularies to help organize
ILRI’s information products
Peter Ballantyne
LD4D Livestock Ontologies working group meeting
Edinburgh, 12 December 2019
Where we started … (late 2009)
We wanted:
• new ‘proper’ repository
• new ‘dynamic’ web site
• new ‘social’ platforms
• organized ‘flows’ for info/knowledge products
We had:
• Multiple (home-made) websites and databases
• Many other home-made internal databases
Snapshot (Dec 2008)
PA video
WWW web
ILRInet
ILRI web
public’s
library
multimedia
contacts
news
PA news
theme
public’s
training
materials
animal
genetics
training
docs
genebank
info
blog
video
blip
ejournals
slp
cgvlibrary
beca
singer
photos
research
mgmt
bioinfo-
matics
Choices
• Make it open
• Use standard open platforms (No DIY)
• Allow, and encourage, diverse open (content re-
usable) tools and platforms to reach target
audiences
• Use simple ‘descriptors’ and metadata to organize
content for re-use
• Consistent vocabularies to facilitate ‘publishing’ not
‘archiving’
Metadata; descriptors
• AGROVOC for the repositories (CGSpace;
Data)
• ‘dublin-core’ and nowadays ‘cg-core’ for the
repositories
• ILRI-specific descriptor lists – to facilitate
publishing across platforms:
• repository, blogs, slideshare, flickr, youtube,
website, feedburner
Process
• Terms identified early 2010 in discussions with science and
comms management – the key issues/topics for ILRI. What we
want to ‘talk’ about. Over time, added new ones
• Derived from AGROVOC; or created/adapted if missing …
• Terms to help usefully present and share ILRI work; and
integrate across platforms/formats
• That could be used across social platforms
• Small number of ‘controlled’ terms; always options for
authors/editors to add others
• Used alongside controlled lists of countries, languages,
regions, institutional units, investors, CRPs, etc
What we have now
• A controlled vocabulary for ‘ILRI’; not a
‘livestock’ vocabulary
• Simple for use across platforms; to ‘publish’ and
allow re-use
• Used across most public-facing resources
• Other specialized taxonomies in ILRI – animal
breeds etc
Using controlled vocabularies to help organize ILRI’s information products
Using controlled vocabularies to help organize ILRI’s information products
Using controlled vocabularies to help organize ILRI’s information products
Using controlled vocabularies to help organize ILRI’s information products
Using controlled vocabularies to help organize ILRI’s information products
More
https://cgspace.cgiar.org/
http://data.ilri.org/portal/
https://www.ilri.org/publications
http://ilri-comms.ilriwikis.org/Ilri_tagging_guidelines
Using controlled vocabularies to help organize ILRI’s information products
This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence.
better lives through livestock
ilri.org
ILRI thanks all donors and organizations which globally support its work through their contributions
to the CGIAR Trust Fund

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Using controlled vocabularies to help organize ILRI’s information products

  • 1. Using controlled vocabularies to help organize ILRI’s information products Peter Ballantyne LD4D Livestock Ontologies working group meeting Edinburgh, 12 December 2019
  • 2. Where we started … (late 2009) We wanted: • new ‘proper’ repository • new ‘dynamic’ web site • new ‘social’ platforms • organized ‘flows’ for info/knowledge products We had: • Multiple (home-made) websites and databases • Many other home-made internal databases
  • 3. Snapshot (Dec 2008) PA video WWW web ILRInet ILRI web public’s library multimedia contacts news PA news theme public’s training materials animal genetics training docs genebank info blog video blip ejournals slp cgvlibrary beca singer photos research mgmt bioinfo- matics
  • 4. Choices • Make it open • Use standard open platforms (No DIY) • Allow, and encourage, diverse open (content re- usable) tools and platforms to reach target audiences • Use simple ‘descriptors’ and metadata to organize content for re-use • Consistent vocabularies to facilitate ‘publishing’ not ‘archiving’
  • 5. Metadata; descriptors • AGROVOC for the repositories (CGSpace; Data) • ‘dublin-core’ and nowadays ‘cg-core’ for the repositories • ILRI-specific descriptor lists – to facilitate publishing across platforms: • repository, blogs, slideshare, flickr, youtube, website, feedburner
  • 6. Process • Terms identified early 2010 in discussions with science and comms management – the key issues/topics for ILRI. What we want to ‘talk’ about. Over time, added new ones • Derived from AGROVOC; or created/adapted if missing … • Terms to help usefully present and share ILRI work; and integrate across platforms/formats • That could be used across social platforms • Small number of ‘controlled’ terms; always options for authors/editors to add others • Used alongside controlled lists of countries, languages, regions, institutional units, investors, CRPs, etc
  • 7. What we have now • A controlled vocabulary for ‘ILRI’; not a ‘livestock’ vocabulary • Simple for use across platforms; to ‘publish’ and allow re-use • Used across most public-facing resources • Other specialized taxonomies in ILRI – animal breeds etc
  • 15. This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence. better lives through livestock ilri.org ILRI thanks all donors and organizations which globally support its work through their contributions to the CGIAR Trust Fund

Notes de l'éditeur

  1. This and the next slide are examples of the messages ‘we’ publish; Main point to make is that the hard evidence behind these is scattered, mixed and perhaps not robust enough.
  2. This and the next slide are examples of the messages ‘we’ publish; Main point to make is that the hard evidence behind these is scattered, mixed and perhaps not robust enough.
  3. This and the next slide are examples of the messages ‘we’ publish; Main point to make is that the hard evidence behind these is scattered, mixed and perhaps not robust enough.
  4. This and the next slide are examples of the messages ‘we’ publish; Main point to make is that the hard evidence behind these is scattered, mixed and perhaps not robust enough.