Difference between revisions of "Framework Design"

From Organic Data Science Framework
Jump to: navigation, search
(Designing the Platform for Organic Data Science)
(Added PropertyValue: SubTask = User_Training)
 
(40 intermediate revisions by 5 users not shown)
Line 1: Line 1:
 
[[Category:Task]]
 
[[Category:Task]]
  
== Designing the Platform for Organic Data Science ==
+
==Social Collaboration Principles that Guide the Design of the Organic Data Science Platform==
 
+
The Organic Data Science platform represents the technical approach in [[What_Is_Organic_Data_Science | Organic Data Science]].  Our goal is to develop a social computing system that supports collaborative science. 
+
 
+
[[File:OrganicDataScience-Definition.png|600px]]
+
 
+
The Organic Data Science platform is unique in its emphasis on supporting scientific tasks and processes.  We are developing a detailed comparison with other frameworks for collaboration, see below.
+
 
+
We draw from principles for social collaboration, explained below, to guide the design of the platform.  The implementation builds on a [[Organic_Data_Science_through_a_Semantic_Wiki | Semantic Wiki platform]].
+
 
+
==Social Design Principles==
+
  
 
<span style="color:#00BFFF">'''STATUS: This section is still under development'''</span>
 
<span style="color:#00BFFF">'''STATUS: This section is still under development'''</span>
Line 39: Line 29:
 
<!-- Do NOT Edit below this Line -->
 
<!-- Do NOT Edit below this Line -->
 
{{#set:
 
{{#set:
Participant=Felix|
+
Expertise=Computer_Science|
Participant=Yolanda|
+
Expertise=Collaboration|
SubTask=New_Features_Discussion}}
+
Expertise=Testing|
 +
Owner=Felix_Michel|
 +
Participants=Yolanda_Gil|
 +
StartDate=2014-04-23|
 +
SubTask=Comparison_with_Other_Collaborative_Platforms|
 +
SubTask=Develop_task-centered_features|
 +
SubTask=User_Documentation|
 +
SubTask=User_Training|
 +
TargetDate=2014-09-20|
 +
Type=High}}

Latest revision as of 07:06, 14 November 2014


Social Collaboration Principles that Guide the Design of the Organic Data Science Platform

STATUS: This section is still under development

Starting Communities

  1. Create mechanisms to match people to activities
    Partly addressed by: Task Representation
  2. Highlight more active tasks
  3. Inactive tasks should have „expected active times“

Encouraging Contributions through Motivation

  1. Make it easy to see and track needed contributions
    Partly addressed by: Progress Tracking
  2. Ask specific people on tasks of interest to them
    Addressed by: User Tracking
  3. Simple tasks with challenging goals are easier to comply with
    Addressed by: Task Representation
  4. Specify deadlines for tasks, while leaving people in control
    Partly addressed by: Explorer Navigation
  5. Give frequent feedback specific to the goals
  6. Requests coming form leaders lead to more contributions
  7. Publicize that others have complied with request
    Partly addressed by: Worklist
  8. 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

  1. Cluster members to help them identify with the community
    Addressed by: User Tracking
    Partly addressed by: Explorer Navigation
  2. Give subgroups a name and a tagline
  3. Put subgroups in the context of a larger group
    Addressed by: Explorer Navigation
    Partly addressed by: Task Representation, Worklist
  4. Interdependent tasks increase commitment and reduce conflict
    Addressed by: Timeline
    Partly addressed by: Task Representation, Worklist


Yandex.Metrica