Computational Data Workflow Mapping

Photograph of Elizabeth Wickes

Presenter

Elizabeth Wickes

Data Curation Specialist
Research Data Service
University Library
University of Illinois at Urbana-Champaign

Abstract


Workflow mapping is a useful tool for teams of all sizes to understand how data, code, and other resources are being shared and passed around. Like retracing your steps after losing something, tracing a project through workflows identifies all the essential products and dependencies of the research process, and can be one of the most useful places to get started with data management. This workshop focuses specifically on computational research processes, but can be adapted to most types of projects.


Session details

When: 10:00 CST, April 12, 2017

Length of Session: One hour

Target Audience: Anyone working on computational projects, particularly those working on large teams. However, these activities can be used for a wide variety of project types.

Prerequisites: Have a project in mind.


User Base: Applicable to all users.


Software Availability: No software will be used for this seminar, but all core materials are freely available in IDEALS under a CC-BY license.


Software Requirements: This is actually a technology free workshop, so all paper/pencil activities and no computers. Try to have sticky notes and scratch paper by your desk to participate.


Use cases: This is optimized for large data mining projects, but can be used for any computationally intensive project planning.


Training Materials: Stock materials are available in IDEALS, the Illinois Digital Environment for Access to Learning and Scholarship, but each instance is customized for the audience.

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