Big Research Data and Data Science

Managing Research Data in Big Science

The project which led to this report was funded by JISC in 2010–2011 as part of its ‘Managing Research Data’ programme, to examine the way in which Big Science data is managed, and produce any recommendations which may be appropriate. Big science data is different: it comes in large volumes, and it is shared and exploited in ways which may differ from other disciplines. This project has explore...

Big Data Science Needs Big Data Middleware

There has been a “Cambrian explosion” of big data systems proposed and evaluated in the last eight years, but relatively little understanding of how these systems or the ideas they represent compare and complement one another. In enterprise and science situations, “one size is unlikely to fit all”: we see analytics teams running multiple systems simultaneously. However, the highest level of abs...

Big Data, Data Science, and Civil Rights

Advances in data analytics bring with them civil rights implications. Data-driven and algorithmic decision making increasingly determine how businesses target advertisements to consumers, how police departments monitor individuals or groups, how banks decide who gets a loan and who does not, how employers hire, how colleges and universities make admissions and financial aid decisions, and much ...

Data science, big data and granular mining

Data science, big data and granular mining

With the evolution of various modern technologies, huge amount f data is being constantly generated and collected around us. We re in the midst of what is popularly called information revolution nd are living in a so-called world of knowledge. Intentionally and/or ccidentally, generation of these data is inevitable. As a result, large ata, broadly characterised by three Vs – large volume, veloc...