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Sla poster rdm_draft_20140529_v04
1. Visual and interactive discovery of research data management needs in a large
multi-disciplinary research centre
Kristof Kessler, Eugene Barsky and Lindsay Nettlefold
SLA Conference, June 2014
eugene.barsky@ubc.ca
How can we enhance the efficacy of discovering and addressing research data management needs?
Template of Visual and Interactive Approach
Overview
Who: The Centre for Hip Health and Mobility (CHHM),
University of British Columbia (UBC) Library and UBC IT.
What: Instrument to assess data management needs
for a large research centre with multi-disciplinary
research projects.
Why: Researchers need to understand their data and
funders in Canada (TC3+) will start requiring data
management plans soon.
How: Worked with 25 researchers and 11 projects for
this pilot to understand data needs across projects.
*For example: Data Curation Profiles, DAF, CARDIO
Group data streams with similar characteristics:
•Medical imaging
•Questionnaires and physical measures
•Accelerometer, GPS, and other processed data
•Qualitative data, audio files, and video files
•Data consolidation and statistical analysis
Visualization of project data life cycles facilitates
standards and processes across multiple projects
Data Collection
Instruments
Processing
Steps
Outcomes
Methods
Scope
• Understand data needs across CHHM research
projects
• Consulted 25 researchers and 11 projects
• Involved other stakeholders: UBC IT, Library, Ethics
and Privacy
• Want to leverage findings for other UBC research
groups.
Existing Needs Assessment Tools:
• None of available tools* worked in given context
• For example, Purdue’s questionnaire takes 10-15 hrs
per project! However, they provide a comprehensive
set of questions to consider in data assessment
Objective
Assess data management needs and facilitate
data management planning within a multi-
disciplinary research environment.
Our New Approach
Data Curation Profiling Pilots
Need for Visual and Interactive Approach
(see figures 1 & 2)
Three Types of Objects Required to Capture
Data Flow