Sentence examples for widespread availability of data from inspiring English sources

Furthermore there is a tendency to think that the widespread availability of data and data tools represent a democratisation of the analysis and interpretation of data.

Furthermore, it is suggested that the potential widespread availability of data to commercial actors and travellers will affect the performance of the transport systems themselves, which might be expected to have knock-on effects for planning functions.

Says Rodenbeck: "The widespread availability of data has crossed over into social media and digital culture.

Solving these problems and developing more advanced tools for collaborative research would no doubt bring about a change in scientists' attitude and outlook, leading towards what we could call Science 2.0: a new paradigm of research based on the free and widespread availability of data, the sharing and reuse of methods and tools and the collaborative pursuit of common goals and objectives.

This widespread availability of information provides web access to resources that can be efficiently shared with minimal barriers to content and data.

What's different now is that recent changes in technology in particular the widespread availability of big data infrastructure have made big data accessible to a much larger group of companies, from the smallest startups to the biggest enterprises.

Many factors, including the availability of high-throughput "-omics" technologies and equipment, the widespread availability of clinical data warehouses and the noteworthy increase in data storage and computational power of the most recent ICT systems, justify research and efforts in this domain, which promises to be a crucial leveraging factor for biomedical research.

Paradoxically, some of the changes prompted by the widespread availability of big data will not yield much certainty.

The widespread availability of public data provides a rich opportunity for those who can efficiently filter, interpret, and visualize information.

Widespread availability of geospatial data on movement and context presents opportunities for applying new methods to investigate the interactions between humans and weather conditions.

However, whilst a variety of positive results have been published, some strong criticisms of socially generated predictions have also been raised, particularly in the field of electoral prediction (which, perhaps because of the widespread availability of validation data or because of its importance for conventional opinion polling has been the most frequent application of this type of prediction).