Improving Data Quality in eBird- the Expert Reviewer Network
eBird is a global citizen science project that gathers observations of birds. The project has been making a considerable contribution to the collection and sharing of bird observations, even in the data-poorest countries, and is accelerating the accumulation of bird records globally. On 22 March 201...
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ftzenodo:oai:zenodo.org:1252570 2023-05-15T16:59:26+02:00 Improving Data Quality in eBird- the Expert Reviewer Network Kelling, Steve 2018-05-17 https://zenodo.org/record/1252570 https://doi.org/10.3897/biss.2.25394 unknown Pensoft Publishers https://zenodo.org/communities/biosyslit https://zenodo.org/record/1252570 https://doi.org/10.3897/biss.2.25394 oai:zenodo.org:1252570 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Biodiversity Information Science and Standards 2 e25394 eBird data quality citizen science data review info:eu-repo/semantics/article publication-article 2018 ftzenodo https://doi.org/10.3897/biss.2.25394 2023-03-10T22:51:05Z eBird is a global citizen science project that gathers observations of birds. The project has been making a considerable contribution to the collection and sharing of bird observations, even in the data-poorest countries, and is accelerating the accumulation of bird records globally. On 22 March 2018 eBird surpassed ½ billion bird observations. A primary component of ensuring the best quality data is the network of more than 1300 volunteer reviewers who scour incoming data for accuracy. Reviewers provide active feedback to participants on everything from bird identification to best practices for data collection. Since eBird's inception in 2002, almost 23 million observations have been reviewed, requiring more than 190,000 hours of effort by reviewers. In this presentation we review how eBird recruits expert reviewers, describe their responsibilities, and offer some insight in new developments to improve the reviewing process. How are reviewers recruited. There are three primary methods that used to identify new reviewers. First, if we don't have any active participants in a region (e.g., Kamchatka Russia) eBird staff search birding listserves to find an individual who is reporting a lot of high-quality observations from the area. We then contact those individuals and offer them the opportunity to review records for the region. This option has the lowest likelihood of success. Second, if an individual is submitting a lot of records to eBird from a region that needs a reviewer we contact them and request their participation. Third, in much of the world eBird has partner groups. These partner organizations (e.g., Taiwan, Spain, India, Portugal, Australia, and all of the Western Hemisphere) recruit their own reviewers. The third method is the most effective way to gain expert participation. What does a reviewer do? eBird reviewers work to improve eBird data in three primary areas. First, they develop and manage the eBird checklist filters for a region. These filters generate a checklist of birds for a particular ... Article in Journal/Newspaper Kamchatka Zenodo Biodiversity Information Science and Standards 2 e25394 |
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eBird data quality citizen science data review |
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eBird data quality citizen science data review Kelling, Steve Improving Data Quality in eBird- the Expert Reviewer Network |
topic_facet |
eBird data quality citizen science data review |
description |
eBird is a global citizen science project that gathers observations of birds. The project has been making a considerable contribution to the collection and sharing of bird observations, even in the data-poorest countries, and is accelerating the accumulation of bird records globally. On 22 March 2018 eBird surpassed ½ billion bird observations. A primary component of ensuring the best quality data is the network of more than 1300 volunteer reviewers who scour incoming data for accuracy. Reviewers provide active feedback to participants on everything from bird identification to best practices for data collection. Since eBird's inception in 2002, almost 23 million observations have been reviewed, requiring more than 190,000 hours of effort by reviewers. In this presentation we review how eBird recruits expert reviewers, describe their responsibilities, and offer some insight in new developments to improve the reviewing process. How are reviewers recruited. There are three primary methods that used to identify new reviewers. First, if we don't have any active participants in a region (e.g., Kamchatka Russia) eBird staff search birding listserves to find an individual who is reporting a lot of high-quality observations from the area. We then contact those individuals and offer them the opportunity to review records for the region. This option has the lowest likelihood of success. Second, if an individual is submitting a lot of records to eBird from a region that needs a reviewer we contact them and request their participation. Third, in much of the world eBird has partner groups. These partner organizations (e.g., Taiwan, Spain, India, Portugal, Australia, and all of the Western Hemisphere) recruit their own reviewers. The third method is the most effective way to gain expert participation. What does a reviewer do? eBird reviewers work to improve eBird data in three primary areas. First, they develop and manage the eBird checklist filters for a region. These filters generate a checklist of birds for a particular ... |
format |
Article in Journal/Newspaper |
author |
Kelling, Steve |
author_facet |
Kelling, Steve |
author_sort |
Kelling, Steve |
title |
Improving Data Quality in eBird- the Expert Reviewer Network |
title_short |
Improving Data Quality in eBird- the Expert Reviewer Network |
title_full |
Improving Data Quality in eBird- the Expert Reviewer Network |
title_fullStr |
Improving Data Quality in eBird- the Expert Reviewer Network |
title_full_unstemmed |
Improving Data Quality in eBird- the Expert Reviewer Network |
title_sort |
improving data quality in ebird- the expert reviewer network |
publisher |
Pensoft Publishers |
publishDate |
2018 |
url |
https://zenodo.org/record/1252570 https://doi.org/10.3897/biss.2.25394 |
genre |
Kamchatka |
genre_facet |
Kamchatka |
op_source |
Biodiversity Information Science and Standards 2 e25394 |
op_relation |
https://zenodo.org/communities/biosyslit https://zenodo.org/record/1252570 https://doi.org/10.3897/biss.2.25394 oai:zenodo.org:1252570 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.3897/biss.2.25394 |
container_title |
Biodiversity Information Science and Standards |
container_volume |
2 |
container_start_page |
e25394 |
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1766051700206993408 |