Vortrag im Rahmen des Data Pioneers Workshop am 10.10.2016 am BMVIT zum Thema Open Innovation und Open Data (Open Innovation mittels Open Data) seitens Elmar Kiesling (TU Wien) und Martin Kaltenböck (SWC) für den ODI (Open Data Institute) Node Vienna.

1. Data Pioneers
10.10.2016, Wien
@ODIVienna
www.datapioneers.at

2. Agenda
• Das Open Data Institute Vienna (ODI Vienna)
• Open Data - was ist das genau?
• Open Data in Europa und in Österreich
• Open Data und das Potential für
(Open) Innovation
• Best Practise Beispiele: international & national
• Zusammenfassung und Fazit

3. The Open Data Institute – The ODI (HQ, UK)
• The Open Data Institute is catalysing the evolution of open data
culture to create economic, environmental, and social value. It
helps unlock supply, generates demand, creates and disseminates
knowledge to address local and global issues.
• We convene world-class experts to collaborate, incubate, nurture
and mentor new ideas, and promote innovation.
• We enable anyone to learn and engage with open data, and
empower our teams to help others through professional coaching
and mentoring.
• Founded in 2012 by Sirs Tim Berners-Lee and Sir Nigel Shadbolt,
the ODI is an independent, non-profit, non-partisan, limited by
guarantee company.

4. The Open Data Institute – The ODI
28 nodes in 15 countries
Manchester
Brighton
Leeds
UK
Paris
Gothenburg
Trento
Moscow
Chicago USA
Canada
Gold Coast
Dubai
Buenos Aires
Philadelphia
Osaka
Seoul
Amsterdam
North Carolina
Sheffield

5. Gründungsmitglieder ODI Node Vienna

7. Open Data - Was ist das?
Open data can be freely accessed, used, modified, and shared
by anyone for any purpose.
Open data has to have a licence that says it is open data.
Without a licence, the data can’t be reused. The licence might also say:
● that people who use the data must credit whoever is publishing it
(this is called attribution)
● that people who mix the data with other data have to also release
the results as open data (this is called share-alike)
Good open data
● is available in a standard, structured format, so that it can be easily processed
● can be linked to, so that it can be easily shared and talked about
● has guaranteed availability and consistency over time, so that others can rely on it
● is traceable, through any processing, right back to where it originates, so others
can work out whether to trust it
http://opendefinition.org

8. The 8 Principles of Open Government Data
1. Complete
All public data is made available. Public data is data that is not subject to valid privacy, security or privilege limitations.
1. Primary
Data is as collected at the source, with the highest possible level of granularity, not in aggregate or modified forms.
1. Timely
Data is made available as quickly as necessary to preserve the value of the data.
1. Accessible
Data is available to the widest range of users for the widest range of purposes.
1. Machine processable
Data is reasonably structured to allow automated processing.
1. Non-discriminatory
Data is available to anyone, with no requirement of registration.
1. Non-proprietary
Data is available in a format over which no entity has exclusive control.
1. License-free
Data is not subject to any copyright, patent, trademark or trade secret regulation.
Reasonable privacy, security and privilege restrictions may be allowed.
PLUS: Sunlight Foundation, August 2010: 9) Dauerhaftigkeit / Stetigkeit & 10) Nutzungskosten
http://www.opengovdata.org/home/
http://sunlightfoundation.com/policy/documents/ten-open-data-principles/

9. Open Data & Datenwirtschaft - in Europa
Up to 100 Mio Euro through projects, H2020 Research et al
● EC Open Data Portal (9k datasets)
● 2015 Launch Pan EU Data Portal (640k)
● EU Open Data Incubator (ODINE)
● H2020: Open & Big Data Uptake
● EU28 National Open Data Activities
● EU Digital Single Market & free flow of data
● European Data Science Academy (EDSA)
● Big Data Europe (BDE)
● Open Data Portals: 520 entries worldwide

10. Open Data - in Österreich
• ~3000 Datensätze (data.gv.at & ODP)
• ~400 Anwendungen
• Cooperation OGD Österreich (20+ Stellen)
• Verwaltung & Wirtschaft & Forschung
• Klar definierte Standards
• Vihttps://datamarket.at/tale Community
– ODI Node Vienna
– OK.AT
– School of Data (SODA)
• Projekte: ADEQUATe, City Data, GTGD, ...
• UN Public Award & EDI Award (2014)
• NEU: Data Market Austria (DMA)

11. Von Open Data nach LINKED Open Data

12. Von Open Data nach LINKED Open Data

13. Open Data Business & Innovation

14. Open Data - ein Motor für die Wirtschaft

15. Open Data - ein Motor für (Open) Innovation

16. Strategische Bedeutung:
• Plattform für innovative Produkte und Services
• Basis für neue Geschäftsmodelle
• Grundlage für Kollaboration (Netzwerk-Effekte)
• “Inside-out” oder gekoppelte Innovationsprozesse
Konkrete Ziele:
• Zeit- und Kostenersparnisse
• Transparenz erhöhen
• Verbesserung der Qualität der eigenen Daten
• Verbreitung bestehender Produkte fördern
• Wettbewerbsvorteile durch zusätzlichen Wert für Kunden
• Verbesserte Beziehungen zu Partnern, Kunden, Mitbewerbern etc.
• Zusätzliche Ideen für (Verbesserung von) Produkten & Services
• Beschäftigung mit & Etablierung des Themas: Datenmanagement
Open Data - ein Motor für (Open) Innovation

17. Open Data - ein Motor für (Open) Innovation
http://theodi.org/data-spectrum

18. Best Practise Beispiele

19. Open Data - Best Practise
Wikinomics, Don Tapscot (2008!!)
Goldcorp Inc
Rob McEwen ist mit seinem Latein am Ende. Das Management hat alles probiert – aber nichts will mehr
gelingen. Seine Goldmine schreibt rote Zahlen. Da kommt der Firmenchef auf die rettende Idee: Man könnte
es machen wie Wikipedia, das Online-Lexikon, und Externe die Arbeit machen lassen.
Diese Eingebung bringt die Wende. McEwen stellt das Firmenproblem samt allen Daten der Goldmine ins
Internet. Er lädt Unbekannte aus der Netzgemeinde ein, Ideen zu schicken, wie man es besser machen
könne. Wenig später hat er Post. Geologen, Professoren, Hobbytüftler und sogar Militärs zeigen ihm neue
Fundstellen für Gold und liefern Vorschläge, wie man den Betrieb wieder flottmachen könnte. Die Sache
wird ein Erfolg, der Turnaround gelingt.
Der Firmenchef aus Kanada ist Pionier einer neuen Bewegung. Die Intelligenz der Massen da draussen
anzapfen, Unbekannte zur Mitwirkung an Themen aus dem Betrieb einladen, die Aufgaben nicht durch
einen Vorgesetzten, sondern über das Internet koordinieren, so lautet ihr neues Mantra.
http://www.handelszeitung.ch/unternehmen/wikinomics-die-smarte-masse-ersetzt-die-hierarchie

20. Open Data - Best Practise
Open PHACTS Mission:
Integrate Multiple Research
Biomedical Data Resources
Into A Single Open & Free
Access Point

21. Open Data - Best Practise

22. Open Data - Best Practise

23. Open Data - Best Practise

24. Open Data - Best Practise
• Thomson Reuters and the Open Data Institute
• TR is a multinational news and information service provider
(finance and risk, law, tax and accounting, intellectual property and science)
• Had company-wide unique identifiers for internal data federation.
• Made a large subset of these PermIDs, together with descriptive
metadata and tools, available as Linked Data with an open license.
• To improve client relationships
• To create value with open data
“The more an identifier is used in other datasets,
the more valuable the primary data becomes”
• To improve the quality of their data
“Having more eyes on our data will make it gradually stronger and
richer.”
• To improve uptake of their existing products
• To reap indirect financial benefits of increased data use
Open Perm.id
https://permid.org
https://innovation.thomsonreuters.com/en/labs/data-identifiers.html
Who?
What?
Why?

25. Open Data - Best Practise
“We don't exist to make money out of issuing those
identifiers. We create those identifiers because it's
important to our internal data model.
The reality is that we have this data and are
managing it anyway, so the incremental cost for us
to expose it externally is not that great in the grand
scheme of things.”
Dan Benett, Thomson Reuters
Open Perm.id
http://theodi.org/open-enterprise-big-business-case-study-thomson-reuters

26. Open Data - Best Practise
“Increasing amounts of open data are being
published, and we're making the investment to be a
foundational part of this future ecosystem.
The basic idea is that just as this has helped us
connect data from around our own organisation, it
should then help our customers, our partners, and
maybe even our competitors do the same with their
data, and plug that into our organisation, our
platform.”
Dan Meisner, Thomson Reuters
Open Perm.id
http://theodi.org/open-enterprise-big-business-case-study-thomson-reuters

27. Open Data - Best Practise
Syngenta, a global agriculture business and one of the world’s largest crop
chemical producers, in collaboration with the ODI.
1. Made intense use of publicly available data in their R&D.
2. Funded extension of open source ChEMBL database of bioactive
molecules with crop protection data extracted from a large number
of academic journals.[1]
3. Released six open datasets related to its sustainability initiative
“good growth plan”
4. Contributions to Global Open Data for Agriculture and Nutrition
initiative
5. Improve R&D (→ used and financed creation of open data)
6. Improve transparency (→ released own data)
7. Allow others to create value from the data
(e.g., let farmers benchmark their resource efficiency)
8. Ongoing shift to a more collaborative business model in which data
plays an increasingly significant part.
Who?
What?
Why?
[1] http://www.ebi.ac.uk/about/news/service-news/ChEMBL-19-released

28. Open Data - Best Practise
“The rate of data generation is increasing. The
granularity is getting finer and finer all the time. All
of that gives us loads more data to work with and
the chances of any one organisation being able to
generate the data, host the data, analyse the data
and come up with brilliant answers all on their own
seems vanishingly small. We have to find ways of
collaborating.”
Graham Mullier, Syngenta
http://theodi.org/open-enterprise-big-business-case-study-syngenta

29. Open Data - Best Practise
Why Spain’s BBVA is opening up customer data
analytics for all
Two months ago, BBVA opened its anonymised and aggregated payment data pools
up to third-party developers. More than 800 developers signed up for access, and 150
mobile applications have since been created.
Bressan (BBVA’s chief data scientist,) said many of these apps were ideas BBVA would
never have thought of itself, such as a personal organisation app that advised people of
the best time to join queues for tourist attractions based on POS data collected from
those locations. Another application could analyse multiple data points to determine
the best place for retailers to open new stores.
“From using the data to improve my business from having a better risk scoring, to
improving the business of my clients by providing them with this intelligence, we are
going into a completely different business which is selling information based on our
data,” Bressan said.
http://www.cmo.com.au/article/577533/why-spain-bbva-opening-up-customer-data-analytics-all/

30. Open Data - Best Practise
Wolters Kluwer Deutschland (WKD)

31. Open Data - Best Practise
Wolters Kluwer Deutschland (WKD)
“Eine Win-Win-Win-Situation kann nur erreicht
werden, wenn alle Beteiligten aktiv
zusammenarbeiten. Wolters Kluwer Deutschland
GmbH hat juristische Thesauri publiziert, um diese
Zusammenarbeit in der Domäne Recht zu
initialisieren”
http://vocabulary.wolterskluwer.de/
https://www.semantic-web.at/de/juristische-fachthesauri-als-linked-open-data

32. Open Data - Best Practise

33. Open Data - Best Practise
What is OpenCorporates?
OpenCorporates aims to do a straightforward (though big) thing: have a URL for every
company in the world.
Is that all?
Well, no useful though that would be, we're also gradually importing government data
relating to companies, and trying to match it to specific companies
Why do this?
Few parts of the corporate world are limited to a single country, and so the world needs a
way of bringing the information together in a single place, and more than that, a place
that's accessible to anyone, not just those who subscribe to proprietary datasets. See also
the OpenCorporates Principles
There are quite a few countries you're missing
We've grown from 3 territories and a few million companies to over 115 jurisdictions and
110 million companies, and are working with the open data community to add more each
week.
https://opencorporates.com/ | http://opengazettes.com/ | http://openleis.com/

34. Open Data - Best Practise
• Platform that hosts predictive modeling and analytics competitions
• Community of over 536,000 registered users as of 2016[1]
Competitions:
1) Companies prepare and share the data and a description of the problem.
2) Participants experiment and compete against each other to produce the
best models
– work is shared publicly to inspire new ideas
– live scoring and leaderboard
3) After the deadline passes, the company pays the prize money in exchange
for a free license (non-exclusive unless otherwise specified)
Examples:
• GE: Flight quest
• Bosch: Production Line Performance
• Boehringer Ingelheim: Predicting a Biological response of molecules from their
chemical properties
[1] https://en.wikipedia.org/wiki/Kaggle

35. Open Data - Best Practise
• Triggered by reverse engineering of Mindstorms
• LEGO Cuusoo (“I wish”) Community (2008):
– Customer-led open innovation
– Initially in Japan
– users post design ideas and vote based on their
“intention to purchase”
– ideas that reach a threshold are produced
– Revenue sharing model
– e.g., Minecraft franchise
– Today rolled out globally as LEGO Ideas crowdsourcing
platform
• LEGO Design byMe - Mass Customization (discontinued in 2012)

36. Open Data - Best Practise
• Design, engineering and consulting services for the built environment
(e.g., Sydney Opera, Marina Bay Sands Singapore, The Gherkin...)
• Around 11,000 employees and a turnover of £1.05bn in 2014.
• Has created and connected with an ecosystem of open innovators
• Idea of a porous data supply-chain
• New ways of collaborating
• has led to new products and new ways of working
• saved them time and money
Who?
What?
Why?
http://theodi.org/open-enterprise-big-business-case-study-arup
“We think there are domains that would benefit not just from open data but an open
innovation process. It's not just data, it's also open source in terms of code or the
development of other digital assets”
“Open innovation frameworks and the use of Apache licensing for code development and
sharing is really attractive to both sides. It allows us to create IP without having to
have complex legal agreements, lawyers, and background and foreground IP
discussion that just slows everything down in this new world.”
Volker Buscher, Arup

37. Open Data - Best Practise

38. Open Data - Best Practise

39. Open Data - Best Practise

40. Open Data - Best Practise

41. Open Data - Best Practise

42. Open Data - Best Practise

43. Open Data - Best Practise
"Ohne Open Data würde es uns nicht geben"
Andreas Langegger (zoomsquare)

44. Open Data - Best Practise

45. Fazit
• Bei Offenheit geht es um mehr als die passive Nutzung von
offenen Verwaltungsdaten.
• Open Data ist nicht nur etwas für Verwaltung und Startups
• Open Data kann kurzfristig Kunden binden und Kosten sparen,
v.a. aber auch ein strategisches Werkzeug für Open Innovation
sein.
• OD kann Reibung in kollaborativen Prozessen reduzieren,
die Reichweite erhöhen sowie Innovationen und neue
Geschäftsmodelle ermöglichen.
• Übergang zu kollaborativen Geschäftsmodellen erfordert
Öffnung von Daten und Innovationsprozessen
• OD als Plattform zur Schaffung neuer “Datenökosysteme”
• Offene Daten als Einstieg in Datenmanagement, Daten Literacy &
-Governance in der Organisation!

46. Contact Points
Martin Kaltenböck
SWC GmbH
m.kaltenboeck@semantic-web.at
Elmar Kiesling
Vienna University of Technology
elmar.kiesling@tuwien.ac.at
Peter Parycek
Donau University Krems
peter.parycek@donau-uni.ac.at
Axel Polleres
Vienna Univ. of Economics and Business
axel.polleres@wu.ac.at
@ODIVienna

47. Data Market Austria - DMA
Die heute verfügbare Anzahl an Daten bzw. die täglich produzierten
Datenmengen haben eine bis dato ungeahnte Größe angenommen – Daten
sind zu einem Rohstoff geworden, welcher weltweit in beinahe jedem
Industriesektor eine entscheidende Rolle spielt.
Daher ist ein florierender Datenmarkt bzw. ein funktionierendes Daten-
Services Ökosystem für Österreich ein entscheidender Faktor für Beschäftigung
und Wachstum sowie für nachhaltige gesellschaftliche Stabilität und
Wohlstand.
Das Data Market Austria Projekt etabliert ein Daten-Services Ökosystem in
Österreich durch die Schaffung einer deutlich verbesserten Technologiebasis
für sichere Datenmärkte und Cloud-Interoperabilität und die Etablierung eines
Daten-Innovationsumfeldes. Pilotsysteme sowie innovative Anwendungen
u.a. in den Bereichen Erdbeobachtung und Mobilität werden die Verwendung
des neuen Daten-Services Ökosystem sowie die Wertschöpfung daraus
demonstrieren.

48. Data Market Austria - DMA

49. Data Market Austria - DMA
DMA Launch Event
03. November 2016, ab 16:00 Uhr (15:00 Einlass)
Agenda: Projektvorstellung - Keynote: Datenwirtschaft - Stakeholder Talks
Danach: Networking Buffet & DMA Party
T-Center, Rennweg 97-99, 1030 Wien
Info & Anmeldung: http://datamarket.eventbrite.com
Twitter: @DataMarketAT | #datamarketat

50. Data Market Austria - DMA
Initiert von:
Research Studios Austria Forschungsgesellschaft, Austrian Institute of
Technology, Catalysts, Compass-Verlag GmbH, Donau Universität Krems, Earth
Observation Data Centre, INiTS Universitäres Gründerservice Wien, Joanneum
Research Forschungsgesellschaft mbH. Know-Center GmbH, Lefkopoulos KG -
bouncingbytes, Semantic Web Company GmbH, Siemens, T-Mobile Austria
GmbH, TDA Trusted Data Analytics GmbH & Co KG, T-Systems Austria GmbH,
Wikimedia Austria, Zentralanstalt für Meteorologie und Geodynamik