wow-inequalities/02-data/intermediate/wos_sample/6196cdec72853efb866cad643f9a01fb-graham-emily-b.-and/info.yaml

109 lines
3.6 KiB
YAML
Raw Normal View History

2023-09-28 14:46:10 +00:00
abstract: 'Transparent, open, and reproducible research is still far from routine,
and the full potential of open science has not yet been realized.
Crowdsourcing-defined as the usage of a flexible open call to a
heterogeneous group of individuals to recruit volunteers for a task -is
an emerging scientific model that encourages larger and more outwardly
transparent collaborations. While crowdsourcing, particularly through
citizen- or community-based science, has been increasing over the last
decade in ecological research, it remains infrequently used as a means
of generating scientific knowledge in comparison to more traditional
approaches. We explored a new implementation of crowdsourcing by using
an open call on social media to assess its utility to address
fundamental ecological questions. We specifically focused on pervasive
challenges in predicting, mitigating, and understanding the consequences
of disturbances. In this paper, we briefly review open science concepts
and their benefits, and then focus on the new methods we used to
generate a scientific publication. We share our approach, lessons
learned, and potential pathways forward for expanding open science. Our
model is based on the beliefs that social media can be a powerful tool
for idea generation and that open collaborative writing processes can
enhance scientific outcomes. We structured the project in five phases:
(1) draft idea generation, (2) leadership team recruitment and project
development, (3) open collaborator recruitment via social media, (4)
iterative paper development, and (5) final editing, authorship
assignment, and submission by the leadership team. We observed benefits
including: facilitating connections between unusual networks of
scientists, providing opportunities for early career and
underrepresented groups of scientists, and rapid knowledge exchange that
generated multidisciplinary ideas. We also identified areas for
improvement, highlighting biases in the individuals that self-selected
participation and acknowledging remaining barriers to contributing new
or incompletely formed ideas into a public document. While shifting
scientific paradigms to completely open science is a long-term process,
our hope in publishing this work is to encourage others to build upon
and improve our efforts in new and creative ways.'
affiliation: 'Graham, EB (Corresponding Author), Pacific Northwest Natl Lab, Richland,
WA 99352 USA.
Graham, EB (Corresponding Author), Washington State Univ, Sch Biol Sci, Pullman,
WA 99164 USA.
Graham, Emily B., Pacific Northwest Natl Lab, Richland, WA 99352 USA.
Graham, Emily B., Washington State Univ, Sch Biol Sci, Pullman, WA 99164 USA.
Smith, A. Peyton, Texas A\&M Univ, Dept Soil \& Crop Sci, College Stn, TX 77843
USA.'
article-number: '588894'
author: Graham, Emily B. and Smith, A. Peyton
author-email: emily.graham@pnnl.gov
author_list:
- family: Graham
given: Emily B.
- family: Smith
given: A. Peyton
da: '2023-09-28'
doi: 10.3389/fevo.2021.588894
files: []
issn: 2296-701X
journal: FRONTIERS IN ECOLOGY AND EVOLUTION
keywords: FAIR; ICON; disturbance; open science; Twitter; open innovation (OI)
keywords-plus: CITIZEN-SCIENCE; PSYCHOLOGY; REPLICATION; FUTURE; TOOL
language: English
month: NOV 11
number-of-cited-references: '85'
papis_id: 0752b72a3311daa14856e91778d01a38
ref: Graham2021crowdsourcingglobal
times-cited: '0'
title: Crowdsourcing Global Perspectives in Ecology Using Social Media
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000725623600001
usage-count-last-180-days: '0'
usage-count-since-2013: '8'
volume: '9'
web-of-science-categories: Ecology
year: '2021'