Motivations and fears driving participation in collaborative research infrastructure for animal tracking

PloS One
Tara L CreweHamish A Campbell

Abstract

Anthropogenic derived environmental change is challenging earth's biodiversity. To implement effective management, it is imperative to understand how organisms are responding over broad spatiotemporal scales. Collection of these data is generally beyond the budget of individual researchers and the integration and sharing of ecological data and associated infrastructure is becoming more common. However, user groups differ in their expectations, standards of performance, and desired outputs from research investment, and accommodating the motivations and fears of potential users from the outset may lead to higher levels of participation. Here we report upon a study of the Australian ornithology community, which was instigated to better understand perceptions around participation in nationally coordinated research infrastructure for detecting and tracking the movement of birds. The community was surveyed through a questionnaire and individuals were asked to score their motivations and fears around participation. Principal Components Analysis was used to reduce the dimensionality of the data and identify groups of questions where respondents behaved similarly. Linear regressions and model selection were then applied to the principal...Continue Reading

References

Mar 22, 2007·PloS One·Heather A PiwowarDouglas B Fridsma
Feb 29, 2008·Nature·David W SimsJulian D Metcalfe
Jun 24, 2011·Nature·B A BlockD P Costa
Jul 9, 2011·PloS One·Carol TenopirMike Frame
Feb 12, 2015·The Science of the Total Environment·Hamish A CampbellDavid A Westcott
Aug 12, 2016·Ecological Applications : a Publication of the Ecological Society of America·Timothy D ClarkScott G Hinch
May 27, 2017·Science·David Lindenmayer, Ben Scheele
Mar 1, 2018·Scientific Reports·Stephanie BrodieRobert G Harcourt
Dec 24, 2018·Trends in Ecology & Evolution·Hamish A CampbellVinay Udyawer

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Methods Mentioned

BETA
PCA
PCAs

Software Mentioned

Motus
psych R
PerformanceAnalytics R package
R
ggplot2
IMOS
psych
tidyverse
dplyr

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