Open data: 

Smart business.

 

Oleg Lavrovsky, web engineer & data wrangler

In data is discovery.

"PDF" data

 Athletes

 Staff

 Visitors

Accessible data

CC BY 2.0 familymwr

 10'9K ATHLETES

 $44 BILLION

 4.7 BILLION VIEWERS

"Big" data

CC BY 2.0 familymwr

 Athletes

 rdf:employee

  4.7 BILLION

Web data

CC BY 2.0 familymwr

 vcard:title

 rdf:employee

 foaf:persons

Linked data
"Deep" APIs

CC BY 2.0 familymwr

What we really want to know

plotter?

winner?

pop idol?

What is your*
definition of open?

 

* we know what our definition is

 

 

mkdir eukaryota; dat init; dat pull http://eukaryota.dathub.org eukaryota; 
dat import Caprinae.json -d eukaryota;
dat push ssh://192.168.0.5:~/data

Pushed 438 changes (32.03 Mb, 4.4 Mb/s). Push completed successfully.

Making from open data

Educating with open data

Collaborating on open data

Acquisition starts
at home.

Problems?

People!

References

Intentions

Map and organise

CC BY 2.0 John Walker

"Release early, release often, and listen to your customers." -E.S.R.

Rinse, repeat, optimise

Data doesn't lie*

* more accurately, it does not know how to lie

Decision maker/consumer

Producer

Researcher/portal

Expert/analyst/app

Sampler

Many layers

one data cake

Further info

Dankeschön

oleg@datalets.ch

@loleg

Open data: smart business

By Oleg Lavrovsky

Open data: smart business

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