Big Data Research at the University of Colorado Boulder

Approved: Yes
Title: Big Data Research at the University of Colorado Boulder
Category: Docs
Skill Level:
Beginner (304)

Description:
Background: Big data, defined as having high volume, complexity or velocity,
have the potential to greatly accelerate research discovery. Such data can be
challenging to work with and require research support and training to address
technical and ethical challenges surrounding big data collection, analysis,
and publication.



Methods: The present study was conducted via a series of semi-structured
interviews to assess big data methodologies employed by CU Boulder
researchers across a broad sample of disciplines, with the goal of
illuminating how they conduct their research; identifying challenges and
needs; and providing recommendations for addressing them.



Findings: Key results and conclusions from the study indicate: gaps in
awareness of existing big data services provided by CU Boulder; open
questions surrounding big data ethics, security and privacy issues; a need
for clarity on how to attribute credit for big data research; and a
preference for a variety of training options to support big data research.


Link to Resource:
- Big Data Research at the University of Colorado Boulder (https://scholar.colorado.edu/concern/reports/zs25x952q)

Tags:
big-data (4)

Domain:
ACCESS CSSN (780), Campus Champions (572), CAREERS (323), CCMNet (835), Great Plains (311), Kentucky (322), Northeast (308)

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