Innovating Works
HORIZON-CL6-2021-GOVERNANCE-01-20
Data economy in the field of agriculture – effects of data sharin...
Expected Outcome:In line with the farm to fork strategy and the Headline ambitions of a Digital Age –the data Strategy in particular - and the headline ambition an Economy that works for people, leaving no one behind, the successful proposals will support capacities to understand, develop and demonstrate the data economy in agriculture and its effects. This topic aims to contribute a) to the enhancement of the sustainability performance and competitiveness in agriculture through further deployment of digital and data technologies as key enablers, and b) to the development of innovative governance models enabling sustainability and resilience notably to achieve better informed decision-making processes through research and innovation related to data economy in agriculture.
Sólo fondo perdido 0 €
European
This call is closed Esta línea ya está cerrada por lo que no puedes aplicar.
An upcoming call for this aid is expected, the exact start date of call is not yet clear.
Presentation: Consortium Consortium: Esta ayuda está diseñada para aplicar a ella en formato consorcio.
Minimum number of participants.
This aid finances Proyectos:

Expected Outcome:In line with the farm to fork strategy and the Headline ambitions of a Digital Age –the data Strategy in particular - and the headline ambition an Economy that works for people, leaving no one behind, the successful proposals will support capacities to understand, develop and demonstrate the data economy in agriculture and its effects. This topic aims to contribute a) to the enhancement of the sustainability performance and competitiveness in agriculture through further deployment of digital and data technologies as key enablers, and b) to the development of innovative governance models enabling sustainability and resilience notably to achieve better informed decision-making processes through research and innovation related to data economy in agriculture.

Project results are expected to contribute to all of the following expected outcomes:

Awareness and informed decisions based on the demonstration of the costs, benefits, risks, and added value as well as the economic and societal potential of agricultural data sharing taking an EU perspective.[1]Increase in transparency in data sharing in the agricultural value chain.Increased sharing of... see more

Expected Outcome:In line with the farm to fork strategy and the Headline ambitions of a Digital Age –the data Strategy in particular - and the headline ambition an Economy that works for people, leaving no one behind, the successful proposals will support capacities to understand, develop and demonstrate the data economy in agriculture and its effects. This topic aims to contribute a) to the enhancement of the sustainability performance and competitiveness in agriculture through further deployment of digital and data technologies as key enablers, and b) to the development of innovative governance models enabling sustainability and resilience notably to achieve better informed decision-making processes through research and innovation related to data economy in agriculture.

Project results are expected to contribute to all of the following expected outcomes:

Awareness and informed decisions based on the demonstration of the costs, benefits, risks, and added value as well as the economic and societal potential of agricultural data sharing taking an EU perspective.[1]Increase in transparency in data sharing in the agricultural value chain.Increased sharing of agricultural data, and the effective and efficient use of private and public data for private and public purpose, particularly through the demonstration of the costs, benefits, risks, and added value as well as the economic and societal potential of agricultural data sharing taking an EU perspective.[1]Contribute to an increased uptake of digital and data technologies in the agricultural sector and indirectly contribute an increase in environmental and economic performance of the agricultural sector through increased and enhanced used of digital technologies and data.Strengthen policy-making and-monitoring capacities in agriculture and data technologies. Scope:Used effectively, agricultural data has the potential to increase the performance of the sector and of businesses along the supply chain in a sustainable way as well to as to serve public good purposes. For instance, agricultural data forms a key input to precision farming applications and can form input to the analysis on environmental conditions as well as to other fields, e.g. bioinformatics. Thus, agricultural data has a value and presents an interesting element for the data economy.

A crucial parameter to the effectiveness and efficiency of the application of data technologies is the quantity and quality of agricultural data serving as basis for such analyses. However, agricultural data, which stems from multiple sources and includes business, personal and public data, is not straightforward accessible, not even for fees/ financial resources.

Next to technical issues related to e.g. data interoperability, questions on the ownership of agricultural data and the readiness to share the data present a burden to the use of agricultural data. Farmers, for instance, need to trust that their farm data is handled and share carefully, and have to see their and societal benefits to share the data, and have a stake in the economic benefits of agricultural data.

Currently, some companies in the agri-food value chain are collecting agricultural data, e.g. through farmers as customers. Not always is the use of that data, e.g. for product development or farm-tailored advertisement, fully transparent. Moreover, some companies with high numbers of customers, easily gain enormous market power and generate income through the use of the collected data and the application of data technologies.

Developments in the agricultural sector as well as in EU policies[3], which are/ will be addressing those circumstance to increase the readiness to data sharing to increase the benefit for the economy and society and to overcome power imbalances and a lack of transparency in the use of data, occur rapidly. These changing framing conditions offer opportunities as well as challenges to the agricultural sector as well as to the data economy.

Proposals should cover all of the following aspects:

Quantitative and qualitative analyses of the effects of various data sharing and marketing and use options (considering among others private and public data, private and public actions, and big data opportunities) for the actors along the agri-food supply chain and the development of scenarios for the data economy.Implications of the ongoing policy-making process at EU level including the development of relevant legislation in the analyses.Effects of multi-level governance systems in the EU under consideration of the situation and conditions in various Member States as well as effects of international (trade) relations.Consideration of multiple data-sharing business- and governance approaches and technical solution in data sharing in the agricultural sector.Consideration of climate adaptation and reducing administrative burden in the assessment of the potential of agricultural data sharing for the sector and the society. [1] The main focus is with the agricultural sector and public interests in the EU. However, as data flows and trade relations are global, analyses have to go beyond the EU context.

[2] The main focus is with the agricultural sector and public interests in the EU. However, as data flows and trade relations are global, analyses have to go beyond the EU context.

[3] Key policy ambitions related to the data economy and the use of data for the society/ the public good are reflected in a “European Strategy for Data” published by the European Commission in February 2020 (see https://ec.europa.eu/digital-single-market/en/policies/building-european-data-economy).

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Temáticas Obligatorias del proyecto: Temática principal: Data markets Open data Data value chains Digital Social Innovation Digital Services and Platforms Precision agriculture Precision agriculture machinery Big data Agriculture / Forestry / Rural Development

Consortium characteristics

Scope European : The aid is European, you can apply to this line any company that is part of the European Community.
Tipo y tamaño de organizaciones: The necessary consortium design for the processing of this aid needs:

characteristics of the Proyecto

Requisitos de diseño por participante: Duración:
Requisitos técnicos: Expected Outcome:In line with the farm to fork strategy and the Headline ambitions of a Digital Age –the data Strategy in particular - and the headline ambition an Economy that works for people, leaving no one behind, the successful proposals will support capacities to understand, develop and demonstrate the data economy in agriculture and its effects. This topic aims to contribute a) to the enhancement of the sustainability performance and competitiveness in agriculture through further deployment of digital and data technologies as key enablers, and b) to the development of innovative governance models enabling sustainability and resilience notably to achieve better informed decision-making processes through research and innovation related to data economy in agriculture. Expected Outcome:In line with the farm to fork strategy and the Headline ambitions of a Digital Age –the data Strategy in particular - and the headline ambition an Economy that works for people, leaving no one behind, the successful proposals will support capacities to understand, develop and demonstrate the data economy in agriculture and its effects. This topic aims to contribute a) to the enhancement of the sustainability performance and competitiveness in agriculture through further deployment of digital and data technologies as key enablers, and b) to the development of innovative governance models enabling sustainability and resilience notably to achieve better informed decision-making processes through research and innovation related to data economy in agriculture.
Financial Chapters: The chapters of financing expenses for this line are:
Personnel costs.
Expenses related to personnel working directly on the project are based on actual hours spent, based on company costs, and fixed ratios for certain employees, such as the company's owners.
Subcontracting costs.
Payments to external third parties to perform specific tasks that cannot be performed by the project beneficiaries.
Purchase costs.
They include the acquisition of equipment, amortization, material, licenses or other goods and services necessary for the execution of the project
Other cost categories.
Miscellaneous expenses such as financial costs, audit certificates or participation in events not covered by other categories
Indirect costs.
Overhead costs not directly assignable to the project (such as electricity, rent, or office space), calculated as a fixed 25% of eligible direct costs (excluding subcontracting).
Madurez tecnológica: The processing of this aid requires a minimum technological level in the project of TRL 4:. Los componentes que integran determinado proyecto de innovación han sido identificados y se busca establecer si dichos componentes individuales cuentan con las capacidades para actuar de manera integrada, funcionando conjuntamente en un sistema. + info.
TRL esperado:

Characteristics of financing

Intensidad de la ayuda: Sólo fondo perdido + info
Lost Fund:
For the eligible budget, the intensity of the aid in the form of a lost fund may reach as minimum a 100%.
The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations. The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations.
Guarantees:
does not require guarantees
No existen condiciones financieras para el beneficiario.

Additional information about the call

incentive effect: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
non -competitive competitive Very competitive
We do not know the total budget of the line
minimis: Esta línea de financiación NO considera una “ayuda de minimis”. You can consult the regulations here.

other advantages

SME seal: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.
HORIZON-CL6-2021-GOVERNANCE-01 Data economy in the field of agriculture – effects of data sharing and big data Expected Outcome:In line with the farm to fork strategy and the Headline ambitions of a Digital Age –the data Strategy in particular - and t...
Sin info.
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