HISTORY OF CHANGES

Version

Publication date

Changes

1.0

17.06.2021

  • Initial version

1.1

19.07.2021

  • Updated section ‘Other third countries’:

Added of Mauritius and Panama to list of low to middle income countries.

1.2

04.10.2021

  • Updated section ‘Third countries associated to Horizon Europe’:

Moved Iceland and Norway to list of countries with which association agreements have started to produce legal effects.

1.3

22.11.2021

  • Updated section ‘Third countries associated to Horizon Europe’:

Moved Moldova and Turkey to list of countries with which association agreements have started to produce legal effects.

Specified that list of countries with which association agreements have started to produce legal effects is in alphabetical order.

1.4

17.12.2021

  • Updated section ‘Third countries associated to Horizon Europe’:

Movied Georgia, Israel, Montenegro, North Macedonia and Serbia to list of countries with which association agreements have started to produce legal effects.

1.5

01.02.2022

  • Updated section ‘Third countries associated to Horizon Europe’:

    Movied Bosnia and Herzegovina to list of countries with which association agreements have started to produce legal effects.

  • Updated section ‘Other third countries’:

Added Morocco, Tunisia and Ukraine to list of low to middle income countries.

2.0

11.04.2022

  • Introduced changes to part 8. ‘International cooperation and association’:

  • Moved country lists in sections ‘Third countries associated to Horizon Europe’ and ‘Other third countries’ to List of participating countries in Horizon Europe. Added reference to Guidance document Complementary funding mechanisms in third countries.

  • Added section ‘R&I Foreign Interference’.

  • Created section ‘Third countries associated to Euratom Research and Training Programme’.



Table of contents

  1. Introduction 5

  2. Terminology explained 6

  3. Structure and budget 7

  4. What is the Strategic Plan and why is it important? 8

  5. Horizon Europe, an impact-driven framework progamme 9

  6. European Partnerships 10

  7. Missions 10

  8. International cooperation and association 11

  9. Gender equality and inclusiveness 14

  10. Social Science and Humanities (SSH) 19

  11. Social Innovation 20

  12. Ethics and integrity 21

  13. Security 26

  14. Dissemination and exploitation of research results 29

  15. Do No Significant Harm principle 36

  16. Open science 37

  17. Innovation Procurement 53

  18. Key Digital Technologies 56


Abbreviations and acronyms

AC

Associated country/countries associated to Horizon Europe

ERA

European Research Area

ERC

European Research Council

EIC

European Innovation Council

EIT

European Institute of Innovation and Technology

FP

HE Framework Programme

FR

EU Financial Regulation

GA

Grant agreement

HE

Horizon Europe Programme

IP(R)

Intellectual property (rights)

JRC

European Commission Joint Research Centre

KIC

Knowledge and innovation community

MFF

EU’s Multi-annual financial framework

MS

EU Member State(s)

MSCA

Marie Skłodowska-Curie Actions

OS

Open science

NCP

National contact point

PCP

Pre-commercial procurement

PPI

Public procurement of innovative solutions

RRI

Responsible research and innovation

SMEs

Small and medium-sized enterprises

SP

HE Specific Programme

SSH

Social sciences and humanities

WP

EU work programme


This Programme Guide contains detailed guidance on the structure, budget and political priorities of Horizon Europe. It also includes details on how to prepare proposals.

The purpose of this document is to help users understand the programme and its calls and prepare their proposals, by avoiding technical vocabulary, legal references and jargon, and seeking to help readers find answers to any practical questions they may have about particular parts of the proposal.

The guide will be periodically updated with new guidance and explanations, based on practical experience and on-going developments.

Potential applicants are invited to read the call documentation on the topic page in the Funding & Tenders Portal (‘Portal’) carefully, and in particular this Horizon Europe Programme Guide, the General Annexes, the EU Funding & Tenders Portal Online Manual and the EU Grants AGA — Annotated Grant Agreement. These documents provide clarifications and answers to questions relating to preparing the proposal:

These strenghtened provisions are also detailed on the Commission’s Gender equality in research and innovation policy webpage, and summarised in the factsheet Gender equality: a strengthened commitment in Horizon Europe with a special focus on the new Gender Equality Plan (GEP) eligibility criterion.

In this Programme Guide, we focus more specifically on the integration of the gender dimension into research and innovation (R&I) content, and refer the reader to the links provided above and to the following webinar for further guidance on the other gender equality aspects addressed in Horizon Europe and to be taken into account by applicants.

Integration of the gender dimension into R&I content: a requirement under Horizon Europe

The integration of the gender dimension into R&I content is mandatory. It is a requirement set by default across all Work Programmes, destinations and topics, unless its non-relevance for a specific topic is specified in the topic description, e.g. by the mention “In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement”.

This new requirement to integrate the gender dimension by default in R&I content in projects is recalled in the General Introduction to the Horizon Europe Work Programme, and in the General Annex D on Award Criteria (for Research and innovation actions, Innovation actions and Programme co-fund actions) and it is thus reflected in the corresponding application forms (proposal template) for Research and Innovation Actions, Innovation Actions and Programme Co-fund Actions under the Excellence evaluation criterion (under Methodology).

In the proposal template, applicants are invited to describe how the gender dimension (i.e. sex and/or gender analysis) is taken into account in the project’s R&I content. If applicants do not consider such a gender dimension to be relevant in their specific project, they should provide a sound justification, which will be taken into account during evaluation of the proposal, e.g. with appropriate scientific references.


What does integrating the gender dimension in R&I content mean?

It is an umbrella term covering the integration of sex and/or gender analysis through the entire R&I cycle, from the setting of research priorities through defining concepts, formulating research questions, developing methodologies, gathering and analysing sex/gender disaggregated data, to evaluating and reporting results and transferring them to markets into products and innovations which will benefit all citizens and promote gender equality. Addressing the gender dimension in research and innovation thus entails taking into account sex and gender in the whole R&I process. It is different from addressing issues of gender balance and equal opportunities among the project’s team members or among participants to events (e.g. conferences) organised by the project.

Definitions of key related terms:

Research data management and management of other research outputs

Research data management (RDM) is the process within the research lifecycle that includes the data collection or acquisition, organisation, curation, storage, (long-term) preservation, security, quality assurance, allocation of persistent identifiers (PIDs), provision of metadata in line with disciplinary requirements, licencing, and rules and procedures for sharing of data. RDM is an essential element in any project that generates, collects or re-uses data. Planning ahead to data needs that proposers are likely to encounter during the project is a best practice. For example, provisions need to be in place to ensure that data is managed responsibly (e.g. the right venue is chosen


for deposition, adequate are issued, legal provisions such as General Data Protection Regulation (GDPR) are respected, etc). Further, data management should be in line with the FAIR principles20, to ensure that researchers can find, access and re-use each other’s data, maximising the effectiveness and reproducibility of the research undertaken.

RDM, in line with the FAIR principles is a requirement that should be carried out regardless of whether the data generated and re-used in the project is intended to be openly accessible, or if access restrictions are foreseen. FAIR data is not equivalent to open data (publicly available to everyone to access and reuse). Data can, and should be FAIR even when access is restricted.

RDM and the FAIR principles can be applied to research outputs other than data (i.e. workflows, protocols, software, samples, etc). Proposers are recommended to consider robust management practices for data and other research outputs as early as the proposal stage of their project.

Below are important elements and resources for RDM useful already at proposal stage.

Persistent identifiers (PIDs) are key in ensuring the findability of research outputs, including data. They are globally unique and long-lasting references to digital objects (such as data, publications and other research outputs) or non-digital objects such as researchers, research institutions, grants, etc. Frequently used persistent identifiers include digital object identifiers (DOIs), Handles, and others. For further reading on PID types, please refer to https://www.dpconline.org/handbook/technical-solutions-and-tools/persistent-identifiers.

To enhance the findability of research outputs, and their potential reuse, standardised metadata frameworks are essential, ensuring that data and other research outputs are accompanied by rich metadata that provides them with context.

To enhance the re-usability of research data, they must be licenced. For more information on the licences required for data under Horizon Europe, please refer to the AGA (article 17).

Trusted repositories assume a central role in the Horizon Europe for the deposition of and access to publications and research data. For a definition of trusted repositories in Horizon Europe please refer to the AGA (article 17). Proposers, with the help of data and research support staff (e.g. data stewards, data librarians, etc), should check whether the repositories that they plan to deposit their data have the features of trusted repositories, and justify this accordingly in their Data Management Plans.

Data management plans (DMPs) are a cornerstone for responsible management of research outputs, notably data and are mandatory in Horizon Europe for projects generating and/or reusing data (on requirements and the frequency of DMPs as deliverables consult the AGA article 17). A template for a DMP is provided under the reporting templates in the reference documents of the Funding and Tenders portal of the European Commission. Its use is recommended but not mandatory. DMPs are formal documents that outline from the start of the project all aspects of the research data lifecycle, which includes its organisation and curation, and adequate provisions for its access, preservation, sharing, and eventual deletion, both during and after a project. Writing a DMP is part of the methodology of the project, since good data management makes the work more efficient, saves time, contributes to safeguarding information and to increasing the value of the data among the beneficiaries themselves and others, during and after the research. DMPs are thus a key means of support when planning


20 FAIR data are data that are curated to satisfy the principles of findability, accessibility, interoperability, and reusability. For further reading: https://www.go-fair.org/fair-principles/


and conducting a research project, and, ideally, filling in a DMP should be started prior to the beginning of the project.

DMPs play a key role in helping researchers to adequately manage research outputs other than data and publications, also in line with the FAIR principles. Such research outputs may be physical or digital, and include original software created during the project, workflows, protocols, new materials such as samples, cell-lines, antibodies, among many others. DMPs should reflect an adequate management strategy for such outputs as well.

A DMP should be a living document, which is updated and enriched as the project evolves. Such updates might occur after attaining milestones related e.g. to the generation of new data or to reflect changes related to the original planning, changes in data/output access provisions or curation policies, changes in consortium practices (e.g. new innovation potential, decision to file for a patent), changes in consortium composition, etc.

A good practice regarding DMPs is to register them as a non-restricted public deliverables to make them openly accessible, unless legitimate reasons exist to keep them confidential. An additional good practice is to publish the DMP in specialised journals or publishing platforms such as RIO etc., or to deposit them in DMP-specific public repositories such as DMPOnline and others.

As practices with regard to data management, storage, and sharing differ widely across disciplines, the DMPs should reflect common disciplinary practices. In addition to domain specificities, DMPs across the board should address an overarching set of data-related requirements including those aspects related to making the data FAIR. Common aspects that need to be addressed in all DMPs include21: