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BOLD and the data life cycle

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 collection. Data processing. Data discovery. Data analysis. Repurposing.

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BOLD and the data life cycle

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  1. BOLD and the data life cycle Julie K. Stahlhut Biodiversity Institute of Ontario With examples from BOLD 3.0 Beta

  2. Data life cycle: A common model Data archiving Data distribution Study concept Data collection Data processing Data discovery Data analysis Repurposing Data Documentation Initiative, 2004 (http://www.ddialliance.org/)

  3. 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

  4. Basic life cycle of barcode data

  5. Data generation

  6. Validation ✗ Lab technician Campaignmanager ✗ You ✗

  7. Upload

  8. Analysis Identification and comparison Hypothesis testing ? = Context (Ecology, geography, phylogeny) ? 

  9. Publication Project Access: x Make this project publicly visible

  10. The truelife cycle • Validate • Generate • Upload • Re-visit • Analyze • Publish

  11. Add value Re-visited data Plan research Manage projects

  12. Graduate student Project manager ? ? ? Taxonomist

  13. Taxonomic expertise BOLD tools • Future expert • Barcode data expertise

  14. 1. Adding value to data

  15. Good sequences but no IDs.

  16. Reference quality barcodes!

  17. 2. Research planning

  18. ? ?

  19. Molecular Statistical Ecological

  20. 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

  21. 3. Project management Lab progress Data updates Sequence quality Collection coverage

  22. 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

  23. Collaboration • Research BOLD resources • Education • Project management

  24. 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

  25. Acknowledgements • BOLD team • Paul Hebert • Suz Bateson • Alex Wild • Clker.com

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