BOLD and the data life cycle

Julie K. StahlhutBiodiversity Institute of Ontario

With examples from BOLD 3.0 Beta

Study concept

Data collection

Data processing

Data distribution

Data discovery

Data analysis

Data archiving

RepurposingRepurposing

Data life cycle: A common

model

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

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 visiblex

The truelife

cycle

ValidateValidate

Re-visitRe-visit

GenerateGenerate

PublishPublish

AnalyzeAnalyze

UploadUpload

Re-visited data

Add value

Manageprojects

Plan research

Project manager

Taxonomist

Graduate student

?

?

?

Taxonomic expertise

Taxonomic expertise

Barcode data expertise

Barcode data expertiseFuture expertFuture expert

BOLD tools

1. Adding value to data

Sample code

Country Identification Identifier VoucherLocation

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

Good sequences but no IDs.

Good sequences but no IDs.

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

Reference quality

barcodes!

Reference quality

barcodes!

2. Research planning

?

?

Molecular

Statistical

Ecological

BARCODING SPECIES

DIVERSITY

BARCODING SPECIES

DIVERSITY

Tropical vs. temperate rainforest

Tropical vs. temperate rainforest

Formicidae vs. ApidaeFormicidae vs. Apidae

Research ProposalLorem Ipsum, M.S.

Collaborators:C.M. Bees, University of GuelphA. 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

3. Project management Lab

progress

Sequence quality

Collectioncoverage

Dataupdates

Hymenoptera Barcode Group Quarterly Report:

C.M. Bees, Manager

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

Hym

enop

tera

Hym

enop

tera

Bees -> 2100Bees -> 2100

Wasps -> 2800Wasps -> 2800

Ants -> 1950Ants -> 1950

ResearchResearch

Project management

Project managementEducationEducation

BOLD resources

CollaborationCollaboration

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