Members
- Jon Corson-Rikert(Cornell)
- Brian Lowe (Cornell)
- Jing Wang (Johns Hopkins)
- Gia Grier (Johns Hopkins)
- Kirsten Bishop (Johns Hopkins)
- Lisa Charlong (Memorial)
- John Duff (Memorial)
- Bojan Furst Fürst (Memorial)
- Jennifer Warburton (Memorial)
- Lisa Goddard (Memorial)
- Sheila Downer (Smart Labrador, Inc.)
- Dave Cantwell (Memorial)
- Max Hu (Memorial)
JIRA issue
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Goals
- To support networking and collaboration among well-established research teams and knowledge users to further the application and mobilization of knowledge
- To improve engagement between researchers and between community members and researchers by promoting mutual awareness and describing common areas of interest and expertise
- To enhance ability for the University and for the Community to discover emergent/informal and formal communities of practice within multiple sectors.
- To explore how researcher and community networking can be employed to meet other objectives.
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- Model Public/Community persons and groups as well as collaboration(s) between them and university researchers.
- Model forms of collaboration(s) between the Public/Community persons and groups and university researchers
- Model activities that take place between the public and the researchers (this will become more granular.)
- Model outputs of collaboration(s) between the Public/Community persons and groups and university researchers
Definitions
Knowledge mobilization:
The ever-evolving Harris Centre definition of knowledge mobilization:... is about putting available knowledge into active service to benefit society. Both research knowledge and experiential knowledge are worth sharing for the benefit of all. KMb is always about knowledge exchange and it should be mutually beneficial.
For the purposes of the current Yaffle development, a broker is a person with an academic institution affiliation who moves an idea through its life cycle.
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Ontology under development, with definitions and examples
Knowledge Mobilization Ontology
Use cases
- capture Capture community needs systematically and match them with student/faculty interests
- leverage Leverage research or materials for academic or corporate endeavors
- promote Promote the meaningful involvement of communities in translational research
Related Material
Yaffle Relational Database Schema (PDF, 2.75 Mb)
KnowledgeMobilizationOntology.v2.vue
KnowledgeMobilizationUseCaseSample.vue
KnowledgeMobilizationUseCaseSample.vueProv-O Ontology
From Memorial:
Primary Use Cases
The following use cases describe normal uses of the Yaffle application. A VIVO backend would need to support these cases.
1.0 | Use Case | Example |
Title
| Public submits Research Opportunity into Yaffle. The goal is to match Public with Researchers. Matches can be made by Broker(s) and using the following criteria: Research Interests, Expertise, Publications, and Research Projects | Transmission Link on Labrador coast |
Precondition |
Idea articulated by Public Group and entered into system by a person in that Group as a Research Opportunity
| The directors of the regional economic development boards in the area write and submit a Yaffle.ca research opportunity and follow up with a phone call to the Harris Centre. Local fishermen express concern with the proposed transmission link, essentially a high power cable laid on the ocean bottom of their fishing grounds. |
Actors
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Steps |
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Variation Scenario |
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7.0 | Use Case | Example |
Title
| System (Yaffle) tracks status of an Idea from Opportunity to Project Displays as “Brokered” |
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Precondition | A Research Opportunity has been brokered. |
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Actors
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Steps | Broker staff match Public with Researchers Opportunities documented as Projects by Brokers
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Variation Scenario |
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Yaffle Knowledge Mobilization -ISF diagram