Detall de la convocatòria

Característiques

Característica
Objectiu de la convocatòria
This transnational call invites proposals for ambitious, innovative, multinational and multidisciplinary collaborative research projects on large scale analysis of Omics data for drug-target finding in neurodegenerative diseases.
Característiques principals
Proposals submitted under this call may include, but are not limited to, the following types of research:
  • Using the potential from existing animal and cellular models and cohorts, including available data and biomaterial, for conducting large-scale OMICS approaches to unravel the interplay and interactions of molecules from multiple molecular levels driving disease pathogenesis.
  • Better understanding the complex and multi-factorial mechanisms of disease onset and progression as well as the corresponding influencing factors.
  • Translating the findings from Big Data analysis and multi-OMICS approaches to existing animal and cellular models, thereby enhancing the potential of these models.
  • Identification of new drug targets or novel starting points for pharmacological interventions and prevention.
  • Sharpening the current understanding of disease definition, thus leading to enhanced subclassification and better patient stratification.
  • Identification of novel and validation of already established biomarkers.
    The research approaches should be integrative, combining relevant scientific approaches (e.g. clinical, epidemiological, molecular, experimental) and involve state-of-the art methodology and techniques. Proposals must be hypothesis-driven and should have a strong emphasis on reliable methodology. They should be based on mechanistic approaches rather than pure correlational research.
    • Lloc de presentació
    IMIM and PSMAR staff who need more information should contact::
    Competitive Funding. C/ Doctor Aiguader, 88. 08003-Barcelona. Tel.: 93.316.04.00.
    Carol Barnwell: cbarnwell@imim.es Ext.: 1670
    Marta López: mlopez4@imim.es Ext.: 1576
    Convocatòria (URL)
    https://www.neurodegenerationresearch.eu/initiatives/annual-calls-for-proposals/2023-research-call-on-large-scale-analysis-of-omics-data-for-drug-target-finding-in-neurodegenerative-diseases/
    Electronic proposal: https://ptoutline.eu/app/jpnd2023
    Informació addicional
    Submission of proposals follows a two-stage procedure:
  • Pre-proposals must be submitted no later than 15:00h C.E.T. on March 07, 2023
  • Full proposals must be submitted no later than 15:00h C.E.S.T. on June 27, 2023
    • Requisits
    Each proposal must involve a minimum of three and a maximum of six regular partners, including the coordinator, from at least three different countries participating in this call (see section one). However, if the proposal involves at least one regular partner from an EU-13 country (e.g. Czech Republic, Hungary, Poland, Slovakia), or from Turkey, the maximum number of regular partners is extended to seven. For reasons of transnational balance, no more than two regular partners from the same country are allowed to join a proposal.

    Whilst proposals are to be submitted jointly by research groups from different countries, individual regular partners will be funded by the corresponding funding organisation participating in this call. In consequence, eligibility for funding is decided by the respective funding organisations and details of what may or may not be funded are subject to the specific regulations of these funding organisations and thus may vary.

    Therefore, applicants are strongly advised to follow the instructions contained in the country-specific eligibility annex. Please contact Competitive Funding to confirm eligibility matters before submitting an application.
    Dotació
    Form Spanish participants:
  • Up to 180,000 € per partner (overheads included)
  • Up to 260,000 € per coordinator (overheads included)
    • Durada
    3 years

    Arxius

    Arxiu
    Call-text-2023-OMICS_060123.pdf
    Spain.pdf
    Procedures-2023-OMICS_final_for_publication.pdf