108 lines
3.6 KiB
YAML
108 lines
3.6 KiB
YAML
abstract: 'Transparent, open, and reproducible research is still far from routine,
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and the full potential of open science has not yet been realized.
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Crowdsourcing-defined as the usage of a flexible open call to a
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heterogeneous group of individuals to recruit volunteers for a task -is
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an emerging scientific model that encourages larger and more outwardly
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transparent collaborations. While crowdsourcing, particularly through
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citizen- or community-based science, has been increasing over the last
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decade in ecological research, it remains infrequently used as a means
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of generating scientific knowledge in comparison to more traditional
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approaches. We explored a new implementation of crowdsourcing by using
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an open call on social media to assess its utility to address
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fundamental ecological questions. We specifically focused on pervasive
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challenges in predicting, mitigating, and understanding the consequences
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of disturbances. In this paper, we briefly review open science concepts
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and their benefits, and then focus on the new methods we used to
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generate a scientific publication. We share our approach, lessons
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learned, and potential pathways forward for expanding open science. Our
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model is based on the beliefs that social media can be a powerful tool
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for idea generation and that open collaborative writing processes can
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enhance scientific outcomes. We structured the project in five phases:
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(1) draft idea generation, (2) leadership team recruitment and project
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development, (3) open collaborator recruitment via social media, (4)
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iterative paper development, and (5) final editing, authorship
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assignment, and submission by the leadership team. We observed benefits
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including: facilitating connections between unusual networks of
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scientists, providing opportunities for early career and
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underrepresented groups of scientists, and rapid knowledge exchange that
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generated multidisciplinary ideas. We also identified areas for
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improvement, highlighting biases in the individuals that self-selected
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participation and acknowledging remaining barriers to contributing new
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or incompletely formed ideas into a public document. While shifting
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scientific paradigms to completely open science is a long-term process,
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our hope in publishing this work is to encourage others to build upon
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and improve our efforts in new and creative ways.'
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affiliation: 'Graham, EB (Corresponding Author), Pacific Northwest Natl Lab, Richland,
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WA 99352 USA.
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Graham, EB (Corresponding Author), Washington State Univ, Sch Biol Sci, Pullman,
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WA 99164 USA.
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Graham, Emily B., Pacific Northwest Natl Lab, Richland, WA 99352 USA.
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Graham, Emily B., Washington State Univ, Sch Biol Sci, Pullman, WA 99164 USA.
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Smith, A. Peyton, Texas A\&M Univ, Dept Soil \& Crop Sci, College Stn, TX 77843
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USA.'
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article-number: '588894'
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author: Graham, Emily B. and Smith, A. Peyton
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author-email: emily.graham@pnnl.gov
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author_list:
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- family: Graham
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given: Emily B.
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- family: Smith
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given: A. Peyton
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da: '2023-09-28'
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doi: 10.3389/fevo.2021.588894
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files: []
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issn: 2296-701X
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journal: FRONTIERS IN ECOLOGY AND EVOLUTION
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keywords: FAIR; ICON; disturbance; open science; Twitter; open innovation (OI)
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keywords-plus: CITIZEN-SCIENCE; PSYCHOLOGY; REPLICATION; FUTURE; TOOL
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language: English
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month: NOV 11
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number-of-cited-references: '85'
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papis_id: 0752b72a3311daa14856e91778d01a38
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ref: Graham2021crowdsourcingglobal
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times-cited: '0'
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title: Crowdsourcing Global Perspectives in Ecology Using Social Media
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type: article
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unique-id: WOS:000725623600001
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usage-count-last-180-days: '0'
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usage-count-since-2013: '8'
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volume: '9'
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web-of-science-categories: Ecology
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year: '2021'
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