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BOLD and the data life cycle . Julie K. Stahlhut Biodiversity Institute of Ontario. With examples from BOLD 3.0 Beta. Data life cycle: A common model. Data archiving. Data distribution. Study concept. Data processing. Data collection. Data discovery. Data analysis. Repurposing.
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BOLD and the data life cycle Julie K. Stahlhut Biodiversity Institute of Ontario With examples from BOLD 3.0 Beta
Data life cycle: A common model Data archiving Data distribution Study concept Data processing Data collection Data discovery Data analysis Repurposing Data Documentation Initiative, 2004 (http://www.ddialliance.org/)
What does this mean? • Every BOLD user is: • A contributor • A consumer • A curator • An improver of existing data. • Existing BOLD data are: • Records of past research • Resources for future research
Validation ✗ Lab technician Campaignmanager ✗ You ✗
Analysis Identification and comparison Hypothesis testing ? = Context (Ecology, geography, phylogeny) ?
Publication Project Access: x Make this project publicly visible
The truelife cycle Validate Generate Upload Re-visit Analyze Publish
Add value Re-visited data Plan research Manage projects
Graduate student Project manager ? ? ? Taxonomist
Taxonomic expertise BOLD tools Future expert Barcode data expertise
Reference quality barcodes!
? ?
Molecular Statistical Ecological
Research Proposal Lorem Ipsum, M.S. Formicidae vs. Apidae Tropical vs. temperate rainforest BARCODING SPECIES DIVERSITY Collaborators: C.M. Bees, University of Guelph A. Phaenogaster, University of Adelaide Abstract: Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. BARCODE duis aute irure velit esse dolore eu Introduction: Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequatBOLD. Excepteur sint occaecat
3. Project management Lab progress Data updates Sequence quality Collection coverage
Hymenoptera Barcode Group Quarterly Report: C.M. Bees, Manager Bees -> 2100 Hymenoptera Wasps -> 2800 Ants -> 1950 • We have met our BARCODE targets for • this quarter! • Australian ant project near completion • New ant and bee diversity survey under way • Collaborators needed in: • Argentina • Russia • South Africa
Collaboration Research BOLD resources Education Project management
At all stages of the data life cycle: • Data are dynamic, not static. • Existing BOLD data are resources for future work. • Collaborations can add value to your BOLD data. • Your active participation improves data quality and accessibility for everyone! Generate Validate Upload Analyze Publish Re-visit
Acknowledgements • BOLD team • Paul Hebert • Suz Bateson • Alex Wild • Clker.com