open data and entrepreneurship

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Open data and entrepreneuship Alberto Abella

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Page 1: Open data and entrepreneurship

Open data and entrepreneuship

Alberto Abella

Page 2: Open data and entrepreneurship

Call me Harry

Page 3: Open data and entrepreneurship

Call me Harry

Not this Harry

Page 4: Open data and entrepreneurship

this

Harry

Page 5: Open data and entrepreneurship

Telling you the truth

Page 6: Open data and entrepreneurship

Telling you the truth

By W.carter (Own work) [CC BY-SA 4.0 (http://creativecommons.org/licenses/by-sa/4.0)], via Wikimedia Commons

About open data present and future

Page 7: Open data and entrepreneurship

A new era with a new oil

Page 8: Open data and entrepreneurship

Data is the new oil

A new era with a new oil

Page 9: Open data and entrepreneurship

1st oil: Cultural data

By Arne and Bent Larsen or A./B. Larsen, CC BY-SA 2.5 dk, https://commons.wikimedia.org/w/index.php?curid=15575638

Size: Small and lovely GLAM: Galleries, Libraries, Museums, archives

Page 10: Open data and entrepreneurship

2nd oil: Open government data

«Coat types 3» de Томасина, Taru T Torpström, Tuomas Rinta, danny O., Pat028, Sevenfatdogs, whartonds, dancing with wolves, Shnauzer, Missledwidge - Category:Dog breeds by name (different breeds: File:Hungarianpumi.JPG, File:Taru metsa.jpg, File:Shih Tzu portrait show dog.jpg, File:Goumsao De Nulle Part Ailleurs.JPG, File:Japaneseakita.jpg, File:Komondor Westminster Dog Show crop.jpg, File:Keeshond Majic standing cropped.jpg, File:Schnauzer-giant.jpg, File:Irish Red And White Setter 2005.jpg). Disponible bajo la licencia CC BY 2.5 vía Wikimedia Commons - http://commons.wikimedia.org/wiki/File:Coat_types_3.jpg#/media/File:Coat_types_3.jpg

Size: Slightly bigger than culturalQuite diverse (13 main categories). What about private open data? Some of them help on transparency and accountability

Page 11: Open data and entrepreneurship

3rd oil: Scientific data

CC BY 2.5 Photo taken by Kabir Bakie at the Cincinnati Zoo July, 2005

Size: Big (some times huge)Character: wild (diverse) and independent (own structure)Depend on environment, difficult to deal with

Page 12: Open data and entrepreneurship

Massive availability coming in EU

EU Publicly supported R+D wil increase data releaseSupporting policies for scientific data reuseConnection with open science initiatives?

Guidelines on Open access to scientific and Research Data in Horizon 2020.

Page 13: Open data and entrepreneurship

"BlackHole" by XMM-Newton, ESA, NASA - http://web.archive.org/web/20100416132936/http://www.gsfc.nasa.gov/topstory/20011015blackhole.html (direct link)http://earthsky.org/space/comparing-theory-to-observation-in-eating-habits-of-giant-black-holes (direct link). Licensed under Public Domain via Wikimedia Commons - https://commons.wikimedia.org/wiki/File:BlackHole.jpg#/media/File:BlackHole.jpg

4th oil: Internet of Things data

Size: Enormous and unknownCharacter: Streams not datasets, Multimedia, multisourced Availability, aggregation and mix could provide value

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We are in the early days

Of a new era. And therefore

Page 15: Open data and entrepreneurship

Some advises

A: for young entrepreneurs

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It is plenty of data

Around thereSource: https://gcn.com/articles/2015/11/13/open-data-portal.aspx

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A.1.- You are not 'the one'

To find the right data. Need of added value

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Need to find the right source license, timeliness, data model, Quality...

Source: https://gcn.com/articles/2015/11/13/open-data-portal.aspx

A.2.- Once you have the data idea

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Allocate budget and patience enoughChoose global sources

A.3.- Connecting data will take longer than expected

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Open source tools, other open data projects

A.4.- Stand on the shoulders of giants

Page 21: Open data and entrepreneurship

Data quality, data source reliability,

data timeliness

A.5.- Trust nothing

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Some advises

B: for public data publishers

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B.1: Who are using your data?

How could you promote it?Please explore it!!

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B.2:Your are not alone

Connect your dataUse standards (even ontologies)

Assess data reusability. Meloda 4.

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B.3:To be or not to be …. Linked data

1st feedback, then everything else use LD if you have resources and

available standards

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B.4: Some opportunities

Require IT Procurement Open data publishing capable technology

Require legal Data transfer suppliers

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Some advises

C: for public data regulators

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C1. Good pan-eu open data portal

Keep working on standardization (DCAT-AP)

Dissemination

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C.2. Data Standardization is beyond...

National standardization bodiesWe cannot afford time of regular

standardization processes

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C.3. Data use can be promoted

By promoting grass roots standards and entrepreneurship

Solving privacy concerns

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CONCLUSION

Don't be afraid

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CONCLUSION

Pioneering is always a challengeFruitful investment by the end

for eveybody

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THANKS

Time for questions?

Page 34: Open data and entrepreneurship

Open data and entrepreneuship

Alberto Abella@abellahttp://meloda.orghttp://[email protected]