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TOPIC : FAIRification of IMI and EFPIA data

Topic identifier: IMI2-2017-12-02
Publication date: 19 July 2017

Types of action: IMI2-RIA Research and Innovation action
DeadlineModel:
Opening date:
two-stage
19 July 2017
Deadline:
2nd stage Deadline:
24 October 2017 17:00:00
16 May 2018 17:00:00

Time Zone : (Brussels time)
  Horizon 2020 H2020 website
Pillar: Societal Challenges
Work Programme Year: H2020-JTI-IMI-2017
Work Programme Part: IMI2 Work Plan 2017
Topic Description
Specific Challenge:

Since 2008, numerous IMI consortia have been generating results in a diverse set of biomedical domains. In many projects these results have been stored in a custom database, sufficient for the project itself but difficult to access by scientists outside the project. The same is true for many internal industry research and development databases.

Making a significant portion of the data from IMI projects accessible and interoperable with other datasets and databases will greatly improve the use and impact of the data for translational biomedical research.

The concept of FAIR data (Findable, Accessible, Interoperable, Reusable) is perfectly suited for this task

Scope:

The project will focus on IMI projects that have data that is scientifically valuable and amenable to being made FAIR. It is expected that the databases of more than 20 IMI projects will be made FAIR in this project. All IMI projects will be assessed for the presence of such data that requires FAIRification, though it should be noted that IMI2 projects are already required to manage their data according to similar protocols.

Expected Impact:
  • Allow the scientific community to maximally leverage data from legacy and current IMI projects.
  • Strong increase of expertise in creation, curation, and stewardship of FAIR databases within IT communities.
  • Building skills and increasing competiveness for SMEs in Europe.
  • Allow the SME community to make their data, analysis tools and services better connected and aligned to pharma data and facilitate future collaboration.
  • Interoperability of the databases will allow sophisticated data analysis in all phases of drug discovery, including advanced analytical methods such as computer reasoning and inferencing.
  • The project will have a significant impact on the scientific community regarding the broad adaptation of FAIR data stewardship.
Topic conditions and documents

Please read carefully all provisions below before the preparation of your application.

The IMI2 12th Call for proposals topic text as well as the Call Conditions are available here

1. List of countries and applicable rules for funding: described in article 10(2) of Regulation N° 1290/2013 of 11 December 2013 laying down the rules for participation and dissemination in Horizon 2020 and in article 1 of the Commission Delegated Regulation (EU) N° 622/2014 of 14 February 2014.

2. Eligibility and admissibility conditions: described in the IMI2 Manual for evaluation, submission and grant award See also the Commission Delegated Regulation (EU) N° 622/2014 of 14 February 2014.

Proposal page limits and layout: Please refer to Part B of the standard proposal template.

3. Evaluation

Submission and evaluation process, including evaluation criteria and procedure, scoring and threshold are described in the IMI2 Manual for submission, evaluation and grant award. See also the proposal templates for your specific action in section 5, below.

4. Indicative timetable for evaluation and grant agreement:

Notification of outcomes of stage 1 evaluations: Maximum 5 months from deadline for submitting proposals.
Notification of outcomes of stage 2 evaluations: Maximum 5 months from deadline for submitting full proposals.

Signature of grant agreements: maximum 3 months from the date of informing successful applicants.

5. Provisions, proposal templates and evaluation forms:

IMI2 Research and Innovation Action (IMI2-RIA) and (IMI2-IA):

Proposal templates are available after entering the submission tool

Standard evaluation form 

IMI2 Model Grant Agreement

Clinical trial template – the Clinical Trial template is compulsory at stage 2 only !

6. Additional provisions:
Open access must be granted to all scientific publications resulting from Horizon 2020 actions, and proposals must refer to measures envisaged. Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.

This topic participates per default in the open access to research data pilot which aims to improve and maximise access to and re-use of research data generated by projects:

- The pilot applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available for open access and need to describe their approach in a Data Management Plan (to be provided within six months after the project start).

- Note that the evaluation phase proposals will not be evaluated more favourably because they are part of the Pilot, and will not be penalised for opting out of the Pilot.

- Projects can at any stage opt-out of the pilot.

The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
Further information on the Open Research Data Pilot is made available in the H2020 Online Manual: http://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-issues/open-access-dissemination_en.htm 

7. Additional documents:

Summary of the most relevant provisions for participating in IMI2 actions

IMI2 Annual Work Plan 2017 

IMI2 Regulators Guidance tool for researchers 

IMI JU derogation to H2020 Rules for Participation  

Horizon 2020 Rules for Participation 

Horizon 2020 Regulation of Establishment

Horizon 2020 Specific Programme 

 

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Participant Portal FAQ – Submission of proposals.

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