DataLinker is one of three agricultural data initiatives aimed at helping farmers and others to simplify and streamline how they capture and share data. These initiatives are:
- The New Zealand Farm Data Code of Practice was developed by more than 60 organisations to build transparency and confidence between farmers and their information providers;
- Farm Data Standards provide a common vocabulary for product developers and those seeking to interchange data; and
- DataLinker provides a framework and agreement process to reduce duplicate data collection and streamline data sharing.
Increased innovation and better decisions through effective use of data will benefit the industry as a whole.
Avoid building every partner connection from scratch.
DataLinker participants define common message types to avoid reinventing the wheel. Organisations providing data through DataLinker are finding they can use the framework to source data from others as well.
Reduce legal overheads while still controlling access to data you hold.
Standard data access agreements and electronic signing mechanisms reduce the negotiation overhead for all but the most sensitive data sets.
Solve privacy and control challenges.
DataLinker supports aggregate data sets, as well as individual farm data with explicitly farmer permission.
It's easy to get on board.
The framework is built on common internet standards. Sample code and support available to help your developers implement the DataLinker Framework.
Frequently Asked Questions
Is DataLinker another database?
DataLinker helps industry organisations to connect. There's no central database of farm data.
Do you 'clip the ticket' on data?
Data flows point-to-point between organisations, not through a central point.
Will my competitors get all my data?
You control access through standard data access agreements, and farmers still need to give individual permission for farm-specific data to flow.
How does standardising data help my business?
Good standards encourage innovation. DataLinker messages are defined by willing participants, avoiding the drawn-out process that people sometimes associate with standardisation.