preparing for data-intensive science across domains
TRANSCRIPT
Cynthia Parr @cydparrUS Department of AgricultureNational Agricultural Library8 December 2015
Preparing for data-intensive science across domains
http://blog.thingarage.com/
raw data
citable publication
The jet engine of science
Real-timeAutomated
Modified from Peter Wittenberg, Research Data Alliancehttps://rd-alliance.org/group/data-fabric-ig.html
raw data collection
Exploration, cleaning, enrichment, analysis
registration, preservation
temporary data
referable data
citable data
citable publication
Progressively intense, Multiple domainsWhat to learn, How to learn it
Training
Biodiversity
Ecology
Agriculture
Information science
What: Basic data management
Purdue Graduate School of Education
What: Intellectual property
Credits: creativecommons.org,www.agilegeoscience.com
How: Libraries & other units
How: Libraries & admin
What: Programming and databases
What: Specialist tools, like Geographic Information Systems
Keith Weller/ARS Image Gallery
What: Data & metadata standards
From Fig. 2. Wieczorek, et al. (2012). "Darwin Core: An Evolving Community-developed Biodiversity Data Standard.". PLoS ONE 7 (1). doi:10.1371/journal.pone.0029715.
What: Semantics
OBOE from http://www.w3.org/2005/Incubator/ssn/wiki/Incubator_Report
What: Cloud computing
How: Courses
How: Research sprints
Parr and McClain (2014) EOL-BHL-NESCent Research Sprint Report. PeerJ PrePrints 2:e503v1 https://doi.org/10.7287/peerj.preprints.503v1
What: Expect change
http://www.knowledgedirectweb.com/wp-content/uploads/2014/05/learning_objectives.jpg
Credits: www.knowledgedirectweb.com Lucie Lang/Shutterstock
How: Be Agile
“The tools needed for doing data-intensive science are in a constant state of flux – it’s hard for practitioners to keep up, let alone keep a curriculum current.” – Leslie Ries
• Undergraduate exercises in re-analysis• Graduate curriculum as scaffolded
exploration
How: ImmersionHow: Learning on the job
How: Be social
https://help.github.com/
Images are my own unless otherwise credited
Ag Data Commonsdata.nal.usda.goveol.org/traitbank
tdwg.org
@cydparr