The Zenodo communities: visibility and FAIRness of your dataset. Example at the EPFL
Related publications (32)
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This article aims to study crowd dynamics in small teams. In particular we are specifically interested to internal crowdsourcing as a venue for innovation and new ideas production, questioning the difference with regard to other cooperative models based, e ...
These lectures present a research that investigates the representation of communities, and the way to foster their understanding by different audiences. Communities are complex multidimensional entities intrinsically difficult to represent synthetically ...
Microbial communities are often highly diverse in their composition, both at a coarse-grained taxonomic level, such as genus, and at a highly resolved level, such as strains, within species. This variability can be driven by either extrinsic factors such a ...
As part of a research project aiming to explore the notion of ‘smart school’ (especially for STEM education) in Estonia, we are developing classrooms and schools that incorporate data gathering not only from digital traces, but also physical ones (through ...
complexity and computational social sciences. This paper draws from explicit (phone calls, SMS messaging) and implicit (proximity sensing based on Bluetooth radio signals) interaction patterns collected via smartphones and reality mining techniques to expl ...
This paper deals with the sense of represent- ing both a new domain as Digital Humanities and its community. Based on a case study, where a set of visualizations was used to represent the community attending the international Digital Humanities conference ...
2015
Recent policies such as “made in China 2025” or “mass makerspaces” implemented by the Chinese government aim to transform China’s image from “the world’s factory to a creative powerhouse” to be recognized as an “innovation-oriented nation” (Wang 2016). Thi ...
2018
This chapter describes an evolution of practices in community and business assurance from protective programs based upon risk management to the emerging strategy of resilience. The chapter compares and contrasts these two basic approaches, identifying nota ...
As the Internet of Things grows to large scale, its components will increasingly be controlled by selfinterested agents. For example, sensor networks will evolve to community sensing where a community of agents combine their data into a single coherent str ...
Climate change is expected to increase the magnitude and the frequency of extreme climatic events such as droughts. Better understanding how plant communities will respond to these droughts is a major challenge. We expect the response to be a shift in func ...
