About: Scientific Collaborations: How Do We Measure the Return on Relationships?

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Scientific Collaborations: How Do We Measure the Return on Relationships?
Creator	Pennington, Deana Fair, Jeanne Mendenhall, Ian Carter, Hillary Jain, Paras »more»
source	Medline; PMC
abstract	Emerging infectious diseases (EIDs), the majority of which are zoonotic, represent a tremendous challenge for public health and biosurveillance infrastructure across the globe. Due to the complexity of zoonotic pathogens, it is essential that research and response to EIDs be a transdisciplinary effort. And while crisis and circumstance may be the initial catalyst for responding to an outbreak, we provide examples of how transdisciplinary scientific collectives, which are organized and solidified in advance of crises, can transform the way the world responds to outbreaks and in some cases could even prevent one from occurring (1). Current methods for assessing whether a cooperative engagement between countries is producing measurable and sustainable value is based on the ideas of return on investment and do not consider the inherent importance of relationships. In this article, we apply the idea of return on relationships (ROR) and propose a method for measuring ROR, using a system dynamics modeling framework commonly used in epidemiology. Tracking the numerous and diverse scientific collaborations that emerged from a training workshop for biosurveillance of bats held in Singapore in 2014, we apply a methodology for visualizing and measuring the relationship networks and outcomes that result. Additionally, the collaborative, multidisciplinary network that coalesced in response to the Hantavirus outbreak in New Mexico is 1993 is discussed as an example of the long-term benefits of ROR.
has issue date	2016-02-15(xsd:dateTime)
bibo:doi	10.3389/fpubh.2016.00009
bibo:pmid	26913278
has license	cc-by
sha1sum (hex)	51e85d19c2cec68dfff68624118086ec2bb6de73
schema:url	https://doi.org/10.3389/fpubh.2016.00009
resource representing a document's title	Scientific Collaborations: How Do We Measure the Return on Relationships?
has PubMed Central identifier	PMC4753292
has PubMed identifier	26913278
schema:publication	Front Public Health
resource representing a document's body	covid:51e85d19c2cec68dfff68624118086ec2bb6de73#body_text
is schema:about of	named entity 'outbreaks' named entity 'organized' named entity 'outbreak' named entity 'New Mexico' named entity 'ROR' »more»

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