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Taxonomic & data-quality challenges of large-scale citizen science: Examples from. Marshall J. Iliff, eBird Project Leader. Growth in eBird Observations & Checklists. Observations. Checklists. In 2009, volunteers contributed more than 780,000 hours collecting bird observations. . - PowerPoint PPT Presentation
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Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Marshall J. Iliff, eBird Project Leader
2003
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2010
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Observations
Checklists
Growth in eBird Observations & Checklists
In 2009, volunteers contributed more than 780,000 hours collecting bird observations.
The eBird Taxonomy (v1.05)
• User familiarity is the goal
• Familiar Clements 6.4 is base global taxonomy
• Follows recognized regional authorities for taxonomic and nomenclatural decisions
• Standardized English and Scientific Names for all taxa
• Translations in other languages
• http://ebird.org/content/ebird/about/ebird-taxonomy for download
• Personal support for taxonomic questions
The eBird Taxonomy (v1.05)
• User familiarity is the goal
• Familiar Clements 6.4 is base global taxonomy
• Follows recognized regional authorities for taxonomic and nomenclatural decisions
• Standardized English and Scientific Names for all taxa
• Translations in other languages
• http://ebird.org/content/ebird/about/ebird-taxonomy for download
• Personal support for taxonomic questions
The eBird Taxonomy (v1.05)
• User familiarity is the goal
• Familiar Clements 6.4 is base global taxonomy
• Follows recognized regional authorities for taxonomic and nomenclatural decisions
• Standardized English and Scientific Names for all taxa
• Translations in other languages
• http://ebird.org/content/ebird/about/ebird-taxonomy for download
• Personal support for taxonomic questions
The eBird Taxonomy (v1.05)
• User familiarity is the goal
• Familiar Clements 6.4 is base global taxonomy
• Follows recognized regional authorities for taxonomic and nomenclatural decisions
• Standardized English and Scientific Names for all taxa
• Translations in other languages
• http://ebird.org/content/ebird/about/ebird-taxonomy for download
• Personal support for taxonomic questions
The eBird Taxonomy (v1.05)
• User familiarity is the goal
• Familiar Clements 6.4 is base global taxonomy
• Follows recognized regional authorities for taxonomic and nomenclatural decisions
• Standardized English and Scientific Names for all taxa
• Translations in other languages
• http://ebird.org/content/ebird/about/ebird-taxonomy for download
• Personal support for taxonomic questions
The eBird Taxonomy (v1.05)
• User familiarity is the goal
• Familiar Clements 6.4 is base global taxonomy
• Follows recognized regional authorities for taxonomic and nomenclatural decisions
• Standardized English and Scientific Names for all taxa
• Translations in other languages
• http://ebird.org/content/ebird/about/ebird-taxonomy for download
• Personal support for taxonomic questions
The eBird Taxonomy (v1.05)
• User familiarity is the goal
• Familiar Clements 6.4 is base global taxonomy
• Follows recognized regional authorities for taxonomic and nomenclatural decisions
• Standardized English and Scientific Names
for all taxa
• Translations in other languages
• http://ebird.org/content/ebird/about/ebird-taxonomy for download
• Personal support for taxonomic questions
The eBird Taxonomy
Taxa: 11,920 eBird 1.05
The eBird Taxonomy
Taxa: 11,920 10,005Species: e.g., Ivory Gull
eBird 1.05
The eBird Taxonomy
Taxa: 11,920 10,005Species:
eBird 1.05
Ssp. groups: e.g., “Western” Willet 1333
The eBird Taxonomy
Taxa: 11,920 10,005Species:
eBird 1.05
Ssp. groups:
Spuhs: e.g., Empidonax sp.
1333435
The eBird Taxonomy
Taxa: 11,920 10,005Species:
eBird 1.05
Ssp. groups:
Spuhs:
Hybrids: e.g., Snowy Egret x Tricolored Heron
1333435113
The eBird Taxonomy
Taxa: 11,920 10,005Species:
eBird 1.05
Ssp. groups:
Spuhs:
Hybrids:
1333435113
Others: e.g., “Domestic” Mallard, undescribed species
34
eBird Data Quality: Crowdsourcing
• 1100 automated filters check every submission
• Flagged records require validation
• ~300 experts vet all flagged records and request voucher material when needed
• ~1,000,000 record reviewed annually; 67% accepted
eBird Data Quality: Crowdsourcing
• 1100 automated filters check every submission
• Flagged records require validation
• ~300 experts vet all flagged records and request voucher material when needed
• ~1,000,000 record reviewed annually; 67% accepted
eBird Data Quality: Crowdsourcing
• 1100 automated filters check every submission
• Flagged records require validation
• ~300 experts vet all flagged records and request voucher material when needed
• ~1,000,000 record reviewed annually; 67% accepted
eBird Data Quality: Crowdsourcing
• 1100 automated filters check every submission
• Flagged records require validation
• ~300 experts vet all flagged records and request voucher material when needed
• ~1,000,000 record reviewed annually; 67% accepted
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