Discussion Notes
From Open Data Ireland Workspace
Open Data Policy and Licensing
Open Data for Business
Potential drivers
- Everyone benefits from “big data”
- Cost saving for non-competitive data
- Competitive advantage
- Could possibly create a business model providing high quality data
- Emerging companies
New applications / business models
- Pharma research can benefit from academia collaboration
- Broker applications (insurance, travel etc…)
- Event data: link to transport data; weather
- Meter data: link to GPS
- Any website with a shopping cart (product/service, etc)
- Journals that made data publicly available have benefited the most
- Health and safety data within the company
- E.g. tripadvisor gives companies the chance to go back and apologize/fix negative reviews
- Ability to integrate data across rating sites
- Standards organizations (ISO, etc)
- Weather and road information (Visualisation of floods)
- Open your data to ensure that your company is featured in Search Engines
- Airline business model
- EMI Business model
- Could learn from UK open data corporation
Why this isn’t happening
- Fear of the unknown
- Afraid of being compared
- Business are focusing more on business process efficiency
- For the private sector open data is more of an interest
- Maybe not suitable for everyone
- Can’t afford to do it
- Don’t realise not sharing data will ruin their business
- IP issues
- Sharing data imposes quality control
- There is a need for standards
Open Data Quality and Standards
Participants
- Trevor (Marine Institute)
- Liam (Marine Institute)
- Peadar (Dublin Institute of Technology)
- Aftab (DERI)
- Freddy (IBM)
- Peter (UCC)
- Atif (Trinity)
- Eoin (CSO)
- Sarven (DERI)
- Lin (DERI)
- Michael (DERI)
Discussion
- Quality - when is the right time?
- Is quality an objective measure? Depending on the use case - hard facts vs. soft facts (metadata available?)
- One measure is how effectively the reality is modelled
- Taking data management issues into account ('auditable' ?)
- Correct data vs. useful data
- Feedback loop is essential
- Marine environment there are a number of quality assurance
- through external experts)
- information loss through throwing away data that is beyond expected range
- need for correction (due to faulty measurements, etc.)
- time dependencies
- transactional reality vs. physical reality)
- TIE example / legal resources
- capture in the model vs. formats
- numerical data vs. textual data
- Dublinked - need for data curation/cleansing (ODO responsible for quality)
- INSPIRE does not provide direct quality conformance, it's about metadata
- who's responsibility is quality? consumer? ODO?
- INSPIRE - legal mandated organisation - provenance is essential to trace back
- need for different roles in the organisation (chain of authority across technical and content fields)
- review of data production in place for statistics
- adopting ISO9001 QM for data publishing (?)
- different types of data: collected for a special purpose and generated
- estimates vs. accurately captured
- Idea: to motivate data publisher - 'data amnesty' - dependent on requirements (?)