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Farm Data Train - FAIR data principles in agriculture

Автор: GODAN Secretariat

Загружено: 2017-05-19

Просмотров: 2838

Описание: The Farm Data Train, a short video explaining the importance of connecting data and data sources, to make them more usable for improved farm management and research aimed at further improvement. Making the data into FAIR: Findable, Accessible, Interoperable and Reusable.
This animation video is produced with Dutch Techcentre for Lifesciences (DTL), CABI, Global Open Data for Agriculture and Nutrition (GODAN) and Wageningen University and Research and was launched during the GODAN High Level Forum at GFIA Europe.

The Farm Data Train’s main goal is connecting farm data to make them more useable.

Modern farm management requires ever increasing amounts of farm data. But today, this information can not easily be used because the data are produced and managed by various manufacturers of machines, authorities, and more and more by farmers themselves.

These stakeholders collect and manage their data in different ways, making the data hard to find and use. Furthermore, specific farm information is often very business critical.

As a consequence farm data cannot be used easily by farmers themselves, nor by agronomists and researchers.

The Farm Data Train goes to the root of this problem by building FAIR Data Stations. FAIR protocols ensure that data are Findable, Accessible, Interoperable and Reusable.

These Data Stations are connected by tracks, which are strictly secured and protected. FAIR Data Trains are constantly monitored and only trains with the appropriate validation may enter a particular station.

To secure privacy, every Data Station has rules. Each data owner has access to his or her secured Station and can easily request and control one’s farm information. In addition, the owner can set rules for who can access the data and how it may be used.

Communities with common interests, like farm cooperatives, can choose to connect and organize their information through Umbrella Stations.

With this access a researcher can learn, for example, which crop variety will grow best under certain crop management at different locations.

Or a crop breeder who wants to breed a climate resilient/robust variety will be automatically alerted when new research results, insights or possible risks become available.

In this approach the information is accessible for management, research and education without the data ever ‘leaving the station’.

The Farm Data Train takes farm specific crop management to a whole new level with the farmer in full control of his or her data!

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