Actually we’ve just created a vision for this proof of concept :)
Previously we’ve discovered the hardest part of collection management revolve around issues of:
- quantity and quality
- discovery and evaluation
- ability to harness user contributions
The discussion touched on increasing the velocity of collecting, engaging users, improving outcomes for edna users, making it easy for users to suggest resources.
One fascinating suggestion was taking advantage of the human intelligence in the collection. Obviously the human intelligence is revealed in the selection and categorisation of resources. What got me really interested was intelligence is actually revealed in the categorised collection itself. Nick & Vaughan thought this could become a ‘training set’ for a search robot to learn from.
Nelly pointed out what was staring us in the face - there is a better intelligence available – you and all the other edna users; who are already bookmarking, tagging and describing online resources through edna, blogs, del.icio.us, flickr, iGoogle, etcetera. What we need is a system to bubble up the wisdom of the crowd and filter out the madness of the masses.
Reflecting on this discussion, we came up with four suggestions for the vision
- “Better Harvest the Human Intelligence”
- “Efficiency for Edna and Everyone”
- “Improving Collection Effectiveness”
- “Collection Improvement through User Engaging Metadata tools”
We wanted something concrete to guide us so we refined #4 to be our vision:
Vision
“Collection improvement through user engagement and better metadata tools”
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