Expert evaluation guide

Call information


Choose Evaluations in the left side menu. You will then see a list of the proposals you are requested to evaluate. 

Conflict of interest / Expertise

Click Create in the Conflict column. You will get a new page with information about the consortium and a summary of the proposal. If you can declare

  • No concerning conflict of interest
  • Yes concerning expertise
  • Yes concerning non-disclosure

click Save to proceed. Otherwise give the appropriate response and indicate the reason in the Comment field before saving; you will not be allowed to proceed


Click Create in the Eval column. You will get a form with several fields.

The link View application with Description of work lets you read the application containing

  • Title, Id and Acronym
  • Consortium (partners and budgets)
  • Topics
  • Summary
  • Duration
  • Supplementory information (if provided)
  • Description of work: A link to a pdf file
  • Attachments (e.g. letters of support, if provided)
  • Total budget
  • Partner information (Role, Organisation, Experience, Budget)


The evaluation form contains a number of questions, each with possible answers in a select box. Please select the appropriate score to each question. A score will be calculated as you are answering the questions.

Please answer the other questions in the textbox also. If you are not sure about the answers, please write N/A.

Your answers are very important for the further proces of evaluating proposals as wel as the final selection.


Please Save as incomplete if you want to finish the evaluation later. Save as complete when you have finished. 


Consideration of cross-cutting issues

The transition towards sustainable and resilient agri-food systems will need close consideration of the following broad cross-cutting issues for all funded research projects. The cross-cutting issues have to be evaluated and their consideration in the pre-proposals respected for all three main criteria. For example, the cross-cutting issues “Multi-actor approach” and “Inter-/transdisciplinary approach” can be considered for the criteria “Relevance” or also “Potential Impact” or maybe also “Quality” – it depends on the proposal. Furthermore, the consideration of the cross-cutting issues should be reflected also in the Individual Evaluation Reports (IER).

*- Multi-actor approach, involving different actors and stakeholders (such as farmers, food processors, retailers, logistics, advisors, consumers, industry, civil society organisations and policy makers) in research projects from the outset by means of participation as well as transparent communication.

- Inter-/transdisciplinary approach, taking into account different viewpoints and involving disciplines beyond your existing network. Social, agronomic, economic, environmental and data scientists from universities, public/private academic research institutions, industry and other stakeholder partners could be included in the consortium.

- Integrated and holistic systems approach, considering interconnections, possible synergies or trade-offs between different aspects or actors that directly or indirectly affect your field of research on a system level e.g. economic, environmental, social, legislative, geographical, behavioural, business environment.

The above cross-cutting issues should be taken into account across all topics and individually adapted to each project. In addition, some specific cross-cutting issues have been identified to enable digital technology solutions to the transition towards sustainable food systems:

- Data stewardship: is a top priority in research and innovation. Projects shall address the issues related to cybersecurity and protection of personal data and rights (ownership, accessibility, data sovereignty), including applicability of FAIR ( ) and Open Access principles within the agri-food systems.

- Data standards: Data share across the food chain requires agreed common standards. The availability and accessibility of open data is largely dependent on appropriate standards to be followed both to describe data sets and to annotate data. The possibility to share data across the food chain is often hampered by lack of agreed data standards. Projects should address this issue identifying the potential and risks for widely accepted standards.

The inclusion of the mentioned cross-cutting issues is intended to increase the value and impact of projects. In addition, projects are invited to follow the recommendations below:

- Research consortia are encouraged to consider the mentioned cross-cutting issues as well as good geographical coverage in order to strengthen the impact of a project proposal for its transnational added value.

- Technology-orientated project proposals should stay within the Technology Readiness Level (TRL) range of 2 to 8 (Applied research and development, implementation, demonstration of innovation). Beware for deviating TRL-ranges throughout the National Regulations.

- Projects are highly recommended to take advantage of, integrate with and complement the standardisation efforts and platform developments in other public funded projects such as:

- H2020 funded projects, ESIF (


structural-and-investment-funds ) and regionally/nationally funded projects.

- Thematic Smart Specialisation Platform on Agri-food (TSSP-AF, ) and related interregional

partnerships under the Research and Innovation Strategies for Smart Specialisation (RIS3)

- The European Open Science Cloud-initiative ( ) and related H2020 projects, including FNS Cloud ( ; ).