Data lifecycle models are used to visualize the stages data resources pass through from creation completion of a research project and beyond. Although helpful, these tend depict idealized impersonal circumstances that often involve curation actions taken by researchers themselves, while neglecting represent dynamics particular researchers' lives careers. Meanwhile, still infrequently managed su...

Topic lifecycle analysis on Twitter, a branch of study that investigates Twitter topics from their birth through lifecycle to death, has gained immense mainstream research popularity. In the literature, topics are often treated as one of (a) hashtags (independent from other hashtags), (b) a burst of keywords in a short time span or (c) a latent concept space captured by advanced text analysis m...

We propose an approach to stochastic parameterisation of shallow cumulus clouds to represent the convective variability and its dependence on the model resolution. To collect information about the individual cloud lifecycles and the cloud ensemble as a whole, we employ a large eddy simulation (LES) model and a cloud tracking algorithm, followed by conditional sampling of clouds at the cloud-bas...

This article seeks to close the gap between software engineering and human-computer interaction by indicating interdisciplinary interfaces of SE and HCI lifecycles. We present a cross-discipline user interface design lifecycle that integrates SE and HCI under the umbrella of agile development.

Organizational factors—lifecycles, staff specialization and retraining, and participants’ incentives—are too rarely considered in data integration research. We discuss how one can repackage the familiar tasks and research problems, to better fit organizations’ needs. The goal is to obtain data integration tools that support an industrial process of data integration.

Atmospheric rivers (ARs) are long and narrow filaments of vapor transport that responsible for most poleward moisture outside the tropics. Many AR detection algorithms have been developed to automatically identify ARs in climate data. The diversity these has introduced appreciable uncertainties quantitative measures properties thereby impedes construction a unified internally consistent climato...