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 Documentation Initiative, 2004 (http://www.ddialliance.org/) Study concept Data colle...
What does this mean? <ul><li>Every BOLD user is: </li></ul><ul><ul><li>A contributor </li></ul></ul><ul><ul><li>A consumer...
Basic life cycle of barcode data
Data generation
Validation ✗ ✗ ✗ Lab technician Campaignmanager You
Upload
Analysis Hypothesis  testing Context (Ecology, geography, phylogeny) ?  Identification  and comparison = ?
Publication Project Access: Make this project  publicly visible x
The true life cycle Validate Re-visit Generate Publish Analyze Upload
Re-visited  data Add value Manage projects Plan research
Project  manager Taxonomist Graduate student ? ? ?
BOLD tools Taxonomic expertise Barcode data expertise Future expert
1.  Adding value to data
Good sequences but no IDs. Sample code Country Identification Identifier Voucher Location 2010-785 Australia Formicidae U....
Reference quality barcodes! Sample code Country Identification Identifier Notes 2010-785 Australia Iridomyrmex purpureus A...
 
2. Research planning
? ?
Molecular Statistical Ecological
 
BARCODING SPECIES DIVERSITY Tropical vs. temperate rainforest Formicidae vs. Apidae Research Proposal Lorem Ipsum, M.S. Co...
3. Project management Lab progress Sequence quality Collection coverage Data updates
Hymenoptera Barcode Group Quarterly Report: C.M. Bees, Manager <ul><li>We have met our BARCODE targets for  </li></ul><ul>...
Research Project management Education BOLD resources Collaboration
<ul><li>At all stages of the data life cycle: </li></ul><ul><li>Data are dynamic, not static. </li></ul><ul><li>Existing B...
<ul><li>Acknowledgements </li></ul><ul><li>BOLD team </li></ul><ul><li>Paul Hebert </li></ul><ul><li>Suz Bateson </li></ul...
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Dr Julie Stahlhut - Barcode Data Life-cycle

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An in depth look at the data life cycle and how BOLD can help people interact globally in relation to barcode projects.

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  • Some of the graphics from this presentation did not reproduce correctly in the online version. This shouldn't cause immediate problems, since the content is clear from the context. But, please feel free to contact me at juliestahlhutmobile@gmail.com if you have any questions.
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  • No Problem :)
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  • Sync looks very good now -- thanks, Adriana!
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  • I've just sent an Excel file with a list of slide timings for each of my two currently posted presentations. So -- please give it a try. I think it will work okay. Thanks! -- Julie
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  • Hi Julie, sorry about that we've been trying our best to get them as synched as possible. Unfortunately you can't do it yourself, but if you'd like to email me (environment@adelaide.edu.au) with the times in the presentation where it is wrong I will happily fix this up for you. Adriana
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Transcript of "Dr Julie Stahlhut - Barcode Data Life-cycle"

  1. 1. BOLD and the data life cycle Julie K. Stahlhut Biodiversity Institute of Ontario With examples from BOLD 3.0 Beta
  2. 2. Data life cycle: A common model Data Documentation Initiative, 2004 (http://www.ddialliance.org/) Study concept Data collection Data processing Data distribution Data discovery Data analysis Data archiving Repurposing
  3. 3. What does this mean? <ul><li>Every BOLD user is: </li></ul><ul><ul><li>A contributor </li></ul></ul><ul><ul><li>A consumer </li></ul></ul><ul><ul><li>A curator </li></ul></ul><ul><ul><li>An improver of existing data. </li></ul></ul><ul><li>Existing BOLD data are: </li></ul><ul><ul><li>Records of past research </li></ul></ul><ul><ul><li>Resources for future research </li></ul></ul>
  4. 4. Basic life cycle of barcode data
  5. 5. Data generation
  6. 6. Validation ✗ ✗ ✗ Lab technician Campaignmanager You
  7. 7. Upload
  8. 8. Analysis Hypothesis testing Context (Ecology, geography, phylogeny) ?  Identification and comparison = ?
  9. 9. Publication Project Access: Make this project publicly visible x
  10. 10. The true life cycle Validate Re-visit Generate Publish Analyze Upload
  11. 11. Re-visited data Add value Manage projects Plan research
  12. 12. Project manager Taxonomist Graduate student ? ? ?
  13. 13. BOLD tools Taxonomic expertise Barcode data expertise Future expert
  14. 14. 1. Adding value to data
  15. 15. Good sequences but no IDs. Sample code Country Identification Identifier Voucher Location 2010-785 Australia Formicidae U. of Adelaide A2011-Q Australia Formicidae U. of Adelaide ZYZ-1450 Australia Camponotus sp. N. Novice U. of Adelaide 2002-18xt Australia Formicidae U. of Adelaide XM20-36 Australia Formicidae U. of Adelaide ANT-480 Australia Formicidae U. of Adelaide
  16. 16. Reference quality barcodes! Sample code Country Identification Identifier Notes 2010-785 Australia Iridomyrmex purpureus A. Phaenogaster 2011-782 Australia Myrmecia rugosa A. Phaenogaster ZYZ-1450 Australia Polyrhachis australis A. Phaenogaster Corrected 20018xt2 Australia Linepithema humile A. Phaenogaster Invasive XM20-36 Australia Strumigenys sp. A. Phaenogaster ANT-480 Australia Rhytidoponera mayri A. Phaenogaster
  17. 18. 2. Research planning
  18. 19. ? ?
  19. 20. Molecular Statistical Ecological
  20. 22. BARCODING SPECIES DIVERSITY Tropical vs. temperate rainforest Formicidae vs. Apidae Research Proposal Lorem Ipsum, M.S. 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 consequat BOLD . Excepteur sint occaecat
  21. 23. 3. Project management Lab progress Sequence quality Collection coverage Data updates
  22. 24. Hymenoptera Barcode Group Quarterly Report: C.M. Bees, Manager <ul><li>We have met our BARCODE targets for </li></ul><ul><li>this quarter! </li></ul><ul><ul><li>Australian ant project near completion </li></ul></ul><ul><ul><li>New ant and bee diversity survey under way </li></ul></ul><ul><ul><li>Collaborators needed in: </li></ul></ul><ul><ul><ul><li>Argentina </li></ul></ul></ul><ul><ul><ul><li>Russia </li></ul></ul></ul><ul><ul><ul><li>South Africa </li></ul></ul></ul>Hymenoptera Bees -> 2100 Wasps -> 2800 Ants -> 1950
  23. 25. Research Project management Education BOLD resources Collaboration
  24. 26. <ul><li>At all stages of the data life cycle: </li></ul><ul><li>Data are dynamic, not static. </li></ul><ul><li>Existing BOLD data are resources for future work. </li></ul><ul><li>Collaborations can add value to your BOLD data. </li></ul><ul><li>Your active participation improves data quality and accessibility for everyone! </li></ul>Generate Validate Upload Analyze Publish Re-visit
  25. 27. <ul><li>Acknowledgements </li></ul><ul><li>BOLD team </li></ul><ul><li>Paul Hebert </li></ul><ul><li>Suz Bateson </li></ul><ul><li>Alex Wild </li></ul><ul><li>Clker.com </li></ul>
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