Date post: | 12-Jan-2015 |
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Data & Analytics |
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Visual and interactive discovery of research data management needs in a large multi-disciplinary research centre
Kristof Kessler, Eugene Barsky and Lindsay NettlefoldSLA Conference, June 2014
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
MethodsScope• 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