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Data Science Help Desk
Most of this content has been moved to https://osf.io/h9vqt/wiki/home/ and https://osf.io/h9vqt/wiki/Weekly Office Hours/
This week's writing hour all are invited to collaborate on envisioning and drafting a document that defines the data science help desk
2020-11-06
Definition of the Data Science Help and consulting desk
Action Items
Phase 0: Get ready
Phase 1: Start engaging and planning
Phase 2: Commit and spread the word
-can be done at CCT level
Phase 3: Spread the word even more widely
Phase 4: Workshop
Mission/Goals/Outcomes of the Help Desk
Metrics
Expectations for acknowledgments etc
We offer many services. Typically shorter engagements don't warrant co-authorship. We will discuss this at the time of defining a scope of work and as it evolves. In these cases, we appreciate if you would acknowledge our help and cite our work, and let us help you and potentially co-author publication of software and data as standalone research objects. It also helps if you let us and others know how we have enabled your research; what we have made possible that you would not have otherwise been able to do (whether due to lack of knowledge, skills, time or other resources)
We use PLOS definitions of contributions to define expectations for authorship. But developing software and providing data don't require co-authorship if you cite the software / data separately in your paper.
Target audience (CALS / AES specific)
Outreach
Mechanisms
RADICAL (Rutgers) - Mentions using GitHub to manage projects (manage expectations) and keeping track of effort
Roles and responsibilities from Computing Success for Scientists:
Background research
Make a list of user types and paths to engagement for Data Science Helpdesk #339
Find existing personas & pathways for DIAG & ResBaz
GitHub (@emily)Links
Existing Resources
Reference: CALS Strategic Goals
Reference: DIAG Mission & Vision
Reference: UX@UA resources
Reference: ResBazAZ Personas