GENERIC NUMERICAL METADATA for Meta Views of Big Business and Very Big Science Data

13 06 15 MosaicMashing up the best of the best seems to be the challenge of our time. Yesterday I met Charles Brewer who is remarkably likeminded in terms of ‘where we are at’ and ‘where we need to go’, as humanity evolves thanks to technology. ‘Big Data’ is the term used by business. Very Big Data has become a project with CERN involved, i.e. science based. But Charles’ understanding of data bases and my invention of ‘numerical metadata’ bridge those worlds.

After having designed many amazing software projects, Charles has put together MOSAIC so that large data bases (1.9 million records as an example) can be examined instantly. The speed with which this can take place is, in my view, in general terms, THE smart data management tool. It opens doors to

  • boiling big data down to essential information
  • understanding the value of big data by understanding the importance of its components
  • gaining deeper insights and better understanding from more and more data.

But then there is the business view where bottom lines count: 

  • understanding your company’s data means understanding your company
  • appreciating business data means increasing business intelligence for saving and making money
  • defining criteria for making decisions needs to be based on the right data and information!

And there is the research or science view where AHA, EUREKA and WOW count:

  • from mining big data to finding gems of insights
  • from analysing big data to understanding its treasure troves
  • from smart data management to coming to important conclusions and major decisions.

That’s how intelligence increases, in the spirit of Humboldtian science, where measurements are the key to understanding nature in its way of ‘operating’. Who are we to describe that with big data and visualise it with the aid of numerical metadata? Just humble players in the great scheme of things. But still passionate about KNOWING rather than believing!

For I know what I’ve got under my kimono: the mathematical spaces and transformations necessary to derive ‘generic numerical metadata‘ from small and big data. An American IP lawyer had advised me to withdraw my five patents to be protected by trade secrets. In software terms, that’s called ‘black boxing’.

And thus we shall see whether we’ll build a smart energy portal as our joint ‘mash up’! Hearing Luke Nicholson from Carbon Culture at the Open Data Institute seemed to suggest possible avenues. Onwards and upwards. What else is there???

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About Sabine Kurjo McNeill

I'm a mathematician and system analyst formerly at CERN in Geneva and became an event organiser, software designer, independent web publisher and online promoter of Open Justice. My most significant scientific contribution is now a solution to the Prime Number problem:
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