Transcript genSpace - Programming Systems Lab

genSpace:
Exploring Social Networking Metaphors
for Scientific Collaborative Work
Gail Kaiser, Swapneel Sheth, Chris Murphy
{kaiser, swapneel, cmurphy} @ cs.columbia.edu
Programming Systems Lab
Department of Computer Science
Columbia University
genSpace Goals
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Prior “collaboratories” for bioinformatics scientists
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Tool sharing (e.g. BioCoRE from UIUC)
Data sharing (e.g. BSC from PNNL)
Instead, we seek to introduce knowledge sharing
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What tools / datasets should I use to investigate this problem?
Who do I know who also uses this tool / dataset?
Which tools and datasets work nicely together?
Where does this tool / dataset fit in a typical workflow?
When did I previously use this tool / dataset?
How can I get help (from an expert who is online right now)?
genSpace Goals
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Social Networking facilitates Collaborative Filtering
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What movies would I like?
Who also likes this book?
Which food and wine go together?
Where does this song fit in the playlist?
When was this restaurant last reviewed?
How can I get help about <xxx>?
We investigate Social Networking Models
as an approach to Scientific Knowledge Sharing
We are implementing a prototype for geWorkbench
genSpace Technical Details
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genSpace client is a geWorkbench “component”,
separate centralized genSpace server
Instrument geWorkbench to capture and record
analysis events
Aggregate event logs for communities of users
Data-mine event patterns
Automatically construct networks of “similar” users
Automatically construct implicit workflows
consisting of sequences of analysis tools
Query via Instant Messaging (IM) “bots”
Visualize networks and workflows
genSpace Architecture
genSpace plugin for geWorkbench
IM based query interface (jclaim)
Single Workflow Visualization
Workflow Relationship Visualization
genSpace Research Questions
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We do not aim to (directly) produce new results
answering bioinformatics research questions
Instead, we seek to make it easier for bioinformatics
researchers to find answers to their own questions
We do, however, seek to produce (direct) new
research results of interest in software systems
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Adapting a “social” metaphor for collaborative work
Data mining implicit workflows
Publish/subscribe based on implicit participation in
tool and dataset use communities
Security/privacy implications and amelioration