Data Intensive Science
نویسندگان
چکیده
منابع مشابه
Visualization for data-intensive science
ince the advent of computing, the world has experienced an information " big bang " : an explosion of data. The amount of information being created is increasing at an exponential rate. Since 2003, digital information has accounted for 90 percent of all information produced [1], vastly exceeding the amount of information on paper and on film. One of the greatest scientific and engineering chall...
متن کاملA Science Cloud for Data Intensive Sciences
It is often discussed that the fourth methodology for science researches is “informatics”; the first methodology is theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. The informatics is expected as a new methodology for data intensive science, which is a new concept based on the fact that most of the scientific data are digitalized and...
متن کاملData Intensive Science: Shades of Grey
The vast majority of research output is grey; white (peer reviewed scholarly publications) forms a minor proportion. Historically, grey material was generated and used within an organisation. However, in recent years some researchrelevant grey material is being made openly available. Among grey outputs, research datasets are the largest proportion by volume and increasingly these are being made...
متن کاملRethinking Spatial Processing in Data-Intensive Science
In this paper we address the problem of supporting data-driven science in geo-scientific application domains where scientists need to filter, analyze, and correlate large data sets in an interactive manner. We identify ten fundamental requirements for such a new type of processing system. They span from supporting spatial data types over using workflows for data lineage, to fast and flexible co...
متن کاملFrom Open Data to Data-intensive Science through CERIF
OGD (Open Government Data) is provided from government departments for transparency and to stimulate a market in ICT services for industry and citizens. Research datasets from publicly funded research commonly are associated with the open scholarly publications movement. However, the former world commonly is derived from the latter with generalisation and summarisation. There is advantage in a ...
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ژورنال
عنوان ژورنال: Research Ideas and Outcomes
سال: 2017
ISSN: 2367-7163
DOI: 10.3897/rio.3.e12032