Inter-Sectorial Data as a Service (ISDaaS)

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Inter-Sectorial Data as a Service (ISDaaS)

Key Objective

To enable better inter-sectorial data use in regional food production for sustainable soci-economic development of the region.

Challenge Addressed

  • What data is available and what are the dataflows in short food chains and in cases of local sales (sales from the yard).
  • How to simplify the handling of these data and their effective use in other sectors.

Type of Stakeholders

Farmers and SMEs across the short food chain.
Case Study Acronym:ISDaaS
Long Title of the Case Study:Inter-Sectorial Data as a Service
Case Study Main Contact:


Countries involved and main place of the Case Study:Czechia (Pilsen region, Olomouc region, South Moravia); Intention to collaborate with Germany, Austria and Slovakia (cross-border regions)
Part of the Food System addressed:Whole short food chains

Case Study Summary

The Case Study will answer 3 main questions:

  1. What data is used in regional product retail and how it is managed?
  2. How it is possible to optimize the use of these data?
  3. How can these data be used in other fields (eg tourism, regional planning, etc.)?
The Case Study will first determine the types of data that are currently available for predefined regional products and how they are used. Examples include, data for:
  • product properties
  • primary production conditions
  • primary producers, processor  and other links in the production-processing-customer chains
  • sales
  • promotion
  • ecological parameters of production
Next the Case Study will evaluate these data and propose ways to improve the data flows and increase the use of these data in other areas. Inter-sectoral use may include:
  • supporting tourism
  • improving impact assessment
  • conducting traffic load assessment
  • contributing to socio-economic development of the region
Finally, these solutions will be tested and evaluated within a broad user group including social enterprises and food production chains

Motivation and key expected Outcome

The main motivation is to unlock the potential of data for regional product retail.

The outcomes will be presented by new data services that make data sharing and data exchange easier. New method of re-usage existing data will be proposed and tested and a wide network of suppliers will be involved in the process, customers will be asked for feedback.

Main Partners of the Case Study

The pilot will be led by the WirelessInfo association, which deals with information technology research in the field of agriculture. WirelessInfo will provide pilot management, research and promotion and will close collaborate with Uhlava, which is a regional consulting agency focused on the environment, agriculture, tourism and rural development. ..


WirelessInfo association
Other Stakeholders involved in the Case Study realisation, but not direct project partners

Other partners will be retail companies, social farming groups,  regional association, dealing with the sale of regional products. These retail companies have networks of their regional suppliers (farmers, winemakers) and an established network of customers. The Case Study will also work with selected companies to obtain data for processing. The selected companies will also cooperate in testing the proposals arising from the implementation of the project.

Addressing the
Food Value Chain

The Case Study will connect to the whole regional food product chain. The pilot will track the data flow for each level of the chain and will propose, how to optimize the data usage and how to reuse it in other sectors so that it also benefits individual members of the short supply chain. 

Agricultural suppliers will also be supported with Earth Observation, climatic and sensor data to support their production management.

Cross collaboration
with other Projects or Initiatives

The pilot could have an interaction with projects like Liverur, SmartAgriHub and Polirural. Liverur ( is focused on circular economy and Wirelessinfo with partners solve support of small regional businesses in agriculture sector. SmartAgriHub ( introduces Digital Innovation Hubs (DIH) and Wirelessinfo leading one of the Czech DIHs. This is also one from the examples, how the data in food sector should be effectively managed. 

From previous projects we will follow up on Enabling project (, where we developed the Atlas of Best Practices for presentation and promotion of interesting solutions. We intend to use The Atlas or a similar tool for presentation of our pilot examples or possibly all project practices.

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