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In the PARSEC project, our team of data science experts are partnering with our multi-country synthesis science research team to build relevant tools and processes for better data and software management that integrate into the research lifecycle and are to be shared with the wider research community. This poster articulates the technology challenges prompted by the many aspects of team diversity and physical location as well as the cultural challenges where we seek better understanding and embrace the value of different team dynamics, methods of communication, and preference to research approach.
This poster was presented at the Research Data Alliance Plenary 16 in Costa Rica
citation, data sharing, synthesis science, interoperability, international complexity, software sharing
citation, data sharing, synthesis science, interoperability, international complexity, software sharing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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