This document discusses issues around big data and intellectual property in agriculture. It notes that the effects of data sharing are unclear, leading to uncertainty for farmers around who owns their data, privacy, potential monopolies, lock-ins, and business models. The document proposes creating an open software ecosystem called DATA-FAIR to help address these issues. It suggests preventing data monopolies by sharing data between companies, defining joint data ownership, and designing governance and business models for agricultural data exchange facilities.

1. Big Data and intellectual property
Realising value by letting the data flow
Krijn J. Poppe | Wageningen Economic Research
May 2017, GFIA - Utrecht

2. Effect of data unclear, leads to uncertainty
• Governance issues for farmers:
• Do I own my own data? Who has access to my data? Privacy?
• Do network-effects create natural monopolies?
• Do companies gain market power on future markets?
• Are there lock-ins, can I change suppliers easily?
• Become a franchiser with the risks but not the returns?
 New business models, but many data-driven initiatives
still explore viable models to capture the value of data.
 Changes farm management, implications for the family
farm as a dominant organisational form?
 Unclear: towards a centralisation scenario in chains or
towards disruptive innovation, regional scenario ?
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3. DATA-FAIR:
Open Software
Ecosystem
Stakeholders
Platforms
Apps + services
Knowledge models
Security, Privacy, Trust
Business models
Data sharing
Our approach: innovate together
Farmer
Open Architecture & Infrastructure
Event-driven, Configurable, Customizable
Standards & Open Datasets
Real-time data sharing
IoT layer

4. Essential parts of the solution
 Data gets value by combining and
aggregating
 Prevent data-monopolists by
exchanging data between current firms
 Define (joint) ownership of data
 Exchange data based on consents /
authorisations
 Design a business model of a service,
 Design the governance of a service,
 Especially of Agricultural Business
Collaboration and Data Exchange
Facilities (ABCDEFs).
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5. Thanks for your
attention
krijn.poppe@wur.nl
www.wur.nl