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Scientific and technical data sharing: a trading perspective.

Frey JG, Bird CL - J. Comput. Aided Mol. Des. (2014)

Bottom Line: Indeed, progress depends on individual scientists being able to build on the results produced by others.We suggest an exchange with trusted brokers (akin to the commodity markets) as a way to overcome the challenges of the current environment.We conclude by encouraging the scientific and technical community to debate the merits of a trading perspective on data sharing and exchange.

View Article: PubMed Central - PubMed

Affiliation: Chemistry, University of Southampton, Southampton, SO17 1BJ, UK, J.g.frey@soton.ac.uk.

ABSTRACT
It is arguably a precept that the open sharing of data maximises the scientific utility of the research that generated that data. Indeed, progress depends on individual scientists being able to build on the results produced by others. The means to facilitate sharing undoubtedly exist, but various studies have identified reluctance among researchers to share information with their peers, at least until the professional priorities of the original researchers have been accommodated. With a view to encouraging less inhibited collaboration, we appraise the processes of data exchange from the perspective of a trading environment and consider how data exchanges might promote (or perhaps hinder) collaboration in data-rich scientific research disciplines and how such an exchange might be set up. We suggest an exchange with trusted brokers (akin to the commodity markets) as a way to overcome the challenges of the current environment. We conclude by encouraging the scientific and technical community to debate the merits of a trading perspective on data sharing and exchange.

Show MeSH
Data sharing exploiting a data broker
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Fig1: Data sharing exploiting a data broker

Mentions: For our data- and information-trading environment we envisage deploying a broker to mediate the trading of data, drawing on the parallels between a conventional broker and the Publish/Subscribe methodology to create the required data publication infrastructure, as illustrated in Fig. 1. A key requirement would be to facilitate data discovery by encouraging curation at source. Our perspective takes to a more advanced stage the concept of open repositories by creating an environment, both technical and social, whereby the data in repositories can and will be ‘traded’ and ‘exchanged’. A trading environment therefore supports other initiatives intended to reinforce the collaborative approach and make all the outputs of research discoverable and available for repurposing and reuse in follow-on work: this approach is now almost essential for progress in scientific and other fields of research.Fig. 1


Scientific and technical data sharing: a trading perspective.

Frey JG, Bird CL - J. Comput. Aided Mol. Des. (2014)

Data sharing exploiting a data broker
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4196031&req=5

Fig1: Data sharing exploiting a data broker
Mentions: For our data- and information-trading environment we envisage deploying a broker to mediate the trading of data, drawing on the parallels between a conventional broker and the Publish/Subscribe methodology to create the required data publication infrastructure, as illustrated in Fig. 1. A key requirement would be to facilitate data discovery by encouraging curation at source. Our perspective takes to a more advanced stage the concept of open repositories by creating an environment, both technical and social, whereby the data in repositories can and will be ‘traded’ and ‘exchanged’. A trading environment therefore supports other initiatives intended to reinforce the collaborative approach and make all the outputs of research discoverable and available for repurposing and reuse in follow-on work: this approach is now almost essential for progress in scientific and other fields of research.Fig. 1

Bottom Line: Indeed, progress depends on individual scientists being able to build on the results produced by others.We suggest an exchange with trusted brokers (akin to the commodity markets) as a way to overcome the challenges of the current environment.We conclude by encouraging the scientific and technical community to debate the merits of a trading perspective on data sharing and exchange.

View Article: PubMed Central - PubMed

Affiliation: Chemistry, University of Southampton, Southampton, SO17 1BJ, UK, J.g.frey@soton.ac.uk.

ABSTRACT
It is arguably a precept that the open sharing of data maximises the scientific utility of the research that generated that data. Indeed, progress depends on individual scientists being able to build on the results produced by others. The means to facilitate sharing undoubtedly exist, but various studies have identified reluctance among researchers to share information with their peers, at least until the professional priorities of the original researchers have been accommodated. With a view to encouraging less inhibited collaboration, we appraise the processes of data exchange from the perspective of a trading environment and consider how data exchanges might promote (or perhaps hinder) collaboration in data-rich scientific research disciplines and how such an exchange might be set up. We suggest an exchange with trusted brokers (akin to the commodity markets) as a way to overcome the challenges of the current environment. We conclude by encouraging the scientific and technical community to debate the merits of a trading perspective on data sharing and exchange.

Show MeSH