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Taxonomic & data- quality challenges of large-scale citizen science: Examples from Marshall J. Iliff, eBird Project Leader

Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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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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Page 1: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

Taxonomic & data-quality challenges of large-scale citizen science: Examples from

Marshall J. Iliff, eBird Project Leader

Page 2: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 3: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 4: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 5: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 6: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

2003

2004

2005

2006

2007

2008

2009

2010

0

200,000

400,000

600,000

800,000

1,000,000

1,200,000

1,400,000

1,600,000

1,800,000

2,000,000

2,200,000

0

20000

40000

60000

80000

100000

120000

140000

160000

180000

200000

220000

Observations

Checklists

Growth in eBird Observations & Checklists

Page 7: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

In 2009, volunteers contributed more than 780,000 hours collecting bird observations.

Page 8: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 9: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 10: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 11: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 12: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 13: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 14: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 15: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 16: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 17: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 18: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

The eBird Taxonomy

Taxa: 11,920 eBird 1.05

Page 19: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

The eBird Taxonomy

Taxa: 11,920 10,005Species: e.g., Ivory Gull

eBird 1.05

Page 20: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

The eBird Taxonomy

Taxa: 11,920 10,005Species:

eBird 1.05

Ssp. groups: e.g., “Western” Willet 1333

Page 21: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

The eBird Taxonomy

Taxa: 11,920 10,005Species:

eBird 1.05

Ssp. groups:

Spuhs: e.g., Empidonax sp.

1333435

Page 22: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

The eBird Taxonomy

Taxa: 11,920 10,005Species:

eBird 1.05

Ssp. groups:

Spuhs:

Hybrids: e.g., Snowy Egret x Tricolored Heron

1333435113

Page 23: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

The eBird Taxonomy

Taxa: 11,920 10,005Species:

eBird 1.05

Ssp. groups:

Spuhs:

Hybrids:

1333435113

Others: e.g., “Domestic” Mallard, undescribed species

34

Page 24: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 25: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 26: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 27: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 28: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 29: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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

Page 30: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 31: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 32: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 33: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 34: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 35: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

Indigo Bunting | Full Year

Page 36: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

Chimney Swift | Full Year

Page 37: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

Indigo Bunting | Breeding

St. Louis

Chicago

Atlanta

Detroit

Page 38: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

Chimney Swift | Breeding

Chicago

AtlantaDallas

Houston

Page 39: Taxonomic & data-quality challenges of large-scale citizen science: Examples from
Page 40: Taxonomic & data-quality challenges of large-scale citizen science: Examples from

and beyond…