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Lessons from Fraxinus, a crowd-sourced citizen science game in genomics

In 2013, in response to an epidemic of ash dieback disease in England the previous year, we launched a Facebook-based game called Fraxinus to enable non-scientists to contribute to genomics studies of the pathogen that causes the disease and the ash trees that are devastated by it. Over a period of...

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Autores principales: Rallapalli, Ghanasyam, Saunders, Diane GO, Yoshida, Kentaro, Edwards, Anne, Lugo, Carlos A, Collin, Steve, Clavijo, Bernardo, Corpas, Manuel, Swarbreck, David, Clark, Matthew, Downie, J Allan, Kamoun, Sophien, MacLean, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4517073/
https://www.ncbi.nlm.nih.gov/pubmed/26219214
http://dx.doi.org/10.7554/eLife.07460
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author Rallapalli, Ghanasyam
Saunders, Diane GO
Yoshida, Kentaro
Edwards, Anne
Lugo, Carlos A
Collin, Steve
Clavijo, Bernardo
Corpas, Manuel
Swarbreck, David
Clark, Matthew
Downie, J Allan
Kamoun, Sophien
MacLean, Dan
author_facet Rallapalli, Ghanasyam
Saunders, Diane GO
Yoshida, Kentaro
Edwards, Anne
Lugo, Carlos A
Collin, Steve
Clavijo, Bernardo
Corpas, Manuel
Swarbreck, David
Clark, Matthew
Downie, J Allan
Kamoun, Sophien
MacLean, Dan
author_sort Rallapalli, Ghanasyam
collection PubMed
description In 2013, in response to an epidemic of ash dieback disease in England the previous year, we launched a Facebook-based game called Fraxinus to enable non-scientists to contribute to genomics studies of the pathogen that causes the disease and the ash trees that are devastated by it. Over a period of 51 weeks players were able to match computational alignments of genetic sequences in 78% of cases, and to improve them in 15% of cases. We also found that most players were only transiently interested in the game, and that the majority of the work done was performed by a small group of dedicated players. Based on our experiences we have built a linear model for the length of time that contributors are likely to donate to a crowd-sourced citizen science project. This model could serve a guide for the design and implementation of future crowd-sourced citizen science initiatives. DOI: http://dx.doi.org/10.7554/eLife.07460.001
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spelling pubmed-45170732015-07-30 Lessons from Fraxinus, a crowd-sourced citizen science game in genomics Rallapalli, Ghanasyam Saunders, Diane GO Yoshida, Kentaro Edwards, Anne Lugo, Carlos A Collin, Steve Clavijo, Bernardo Corpas, Manuel Swarbreck, David Clark, Matthew Downie, J Allan Kamoun, Sophien MacLean, Dan eLife Computational and Systems Biology In 2013, in response to an epidemic of ash dieback disease in England the previous year, we launched a Facebook-based game called Fraxinus to enable non-scientists to contribute to genomics studies of the pathogen that causes the disease and the ash trees that are devastated by it. Over a period of 51 weeks players were able to match computational alignments of genetic sequences in 78% of cases, and to improve them in 15% of cases. We also found that most players were only transiently interested in the game, and that the majority of the work done was performed by a small group of dedicated players. Based on our experiences we have built a linear model for the length of time that contributors are likely to donate to a crowd-sourced citizen science project. This model could serve a guide for the design and implementation of future crowd-sourced citizen science initiatives. DOI: http://dx.doi.org/10.7554/eLife.07460.001 eLife Sciences Publications, Ltd 2015-07-29 /pmc/articles/PMC4517073/ /pubmed/26219214 http://dx.doi.org/10.7554/eLife.07460 Text en © 2015, Rallapalli et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Rallapalli, Ghanasyam
Saunders, Diane GO
Yoshida, Kentaro
Edwards, Anne
Lugo, Carlos A
Collin, Steve
Clavijo, Bernardo
Corpas, Manuel
Swarbreck, David
Clark, Matthew
Downie, J Allan
Kamoun, Sophien
MacLean, Dan
Lessons from Fraxinus, a crowd-sourced citizen science game in genomics
title Lessons from Fraxinus, a crowd-sourced citizen science game in genomics
title_full Lessons from Fraxinus, a crowd-sourced citizen science game in genomics
title_fullStr Lessons from Fraxinus, a crowd-sourced citizen science game in genomics
title_full_unstemmed Lessons from Fraxinus, a crowd-sourced citizen science game in genomics
title_short Lessons from Fraxinus, a crowd-sourced citizen science game in genomics
title_sort lessons from fraxinus, a crowd-sourced citizen science game in genomics
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4517073/
https://www.ncbi.nlm.nih.gov/pubmed/26219214
http://dx.doi.org/10.7554/eLife.07460
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