Difference between revisions of "Framework Design"
From Organic Data Science Framework
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Latest revision as of 07:06, 14 November 2014
Contents
Social Collaboration Principles that Guide the Design of the Organic Data Science Platform
STATUS: This section is still under development
Starting Communities
- Create mechanisms to match people to activities
Partly addressed by: Task Representation - Highlight more active tasks
- Inactive tasks should have „expected active times“
Encouraging Contributions through Motivation
- Make it easy to see and track needed contributions
Addressed by: Task Representation, Explorer Navigation, Worklist, Task Alert, Timeline, User TrackingPartly addressed by: Progress Tracking - Ask specific people on tasks of interest to them
Addressed by: User Tracking - Simple tasks with challenging goals are easier to comply with Addressed by: Task Representation
- Specify deadlines for tasks, while leaving people in control
Partly addressed by: Explorer Navigation - Give frequent feedback specific to the goals
- Requests coming form leaders lead to more contributions
- Publicize that others have complied with request Partly addressed by: Worklist
- People are more willing to contribute: 1) when group is small, 2) when commited to the group, 3) when their contributions are unique
Encouraging Commitment
- Cluster members to help them identify with the community
Addressed by: User TrackingPartly addressed by: Explorer Navigation - Give subgroups a name and a taglinePartly addressed by: Task RepresentationExplorer Navigation
- Put subgroups in the context of a larger group Addressed by: Explorer NavigationPartly addressed by: Task Representation, Worklist
- Interdependent tasks increase commitment and reduce conflict
Addressed by: TimelinePartly addressed by: Task Representation, Worklist
