This lecture presents a Cross-Border perspective towards the identification and of organisational, semantical and technical challenges for Data Exchange.
Thomas J. Lampoltshammer, Assistant Professor, Danube University Krems, AU
9. Definition of „cross-border“
„between different countries,
or involving people from different countries”
Cambridge dictionary
But this also means in the first step
”cross organizational boundaries” !!!
10. - Money
- Legal compliance
- Contractual agreements
- Co-Creation and Innovation
- …
Driver behind cross-border
data exchange
13. Production Factor „Information“
Task - 5 Minutes
Discuss with your neighbour,
how information differs from
classical goods/assets within an organisation
14. Material Good/asset Information
Reduction of value by using it Increase of value by using it
High costs for reproduction Low costs for reproduction
Easy to protect and control access Hard to protect and control access
Production Factor „Information“
15. Material Good/asset Information
Specific distribution channels Easy distribution (e.g. Internet)
Price can be calculated in an objective
way
Price is subjective
Costs are easy to calculate Costs are hard to calculate
Mechanisms for price establishment
are known
Mechanisms for price establishment
are unknown
Easy to asses stocks Difficult to assess stocks
Solid scientific foundation for market
development and understand of
system
Few scientific foundations in regard to
market development
Production Factor „Information“
20. Legacy Systems
1.Location of data
2.Inter-dependencies between systems
3.Legal/compliance requirements regarding storage
4.Inter-dependencies between system and infrastructure
30. Challenge #1 - Data Governance
- What data do I have?
- Actual data, Meta data, Transactional data
- What data do I own?
- Real ownership vs. contractual possession
- Where is my data?
- Geographic location vs. system location
- How did it get there?
- Data flow / processes
- Who has/had access to my data?
- Provenance
- Scalability
- SME vs. Global Player
31. Challenge #2 – Semantical Challenge
- How to foster the re-use of existing ontologies?
- What is better?
- Top level ontologies or specialized domain ontologies?
- How to find consent during modelling?
- Individual cognitive process, group dynamics
- How to overcome language barriers and “lost in
translation” syndrome?
- How can we automize the generation of
ontological concepts and definitions via
e.g., machine learning?
32. Challenge #4 - Working Environment
- What are success factors in connected
work place?
- What role does the individuum play in the
new workplace in terms of hierarchy?
- What role does the individual attitude/ego
play in the new job environment?
- What could be new ways of structure, culture,
spirit in organisations?