Lecture, Presentation, Training materials
HemaFAIR Lecture 9 - Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks pre- and post- award management
This lecture, delivered by Dr. Kimberley Renther, provides a practical overview of the management of Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks, covering the key steps from proposal preparation to project implementation and completion. It explains the requirements for building a successful consortium, structuring the doctoral training programme, preparing the grant agreement and establishing the consortium agreement, as well as the organisational, financial and reporting obligations after the award.
The session highlights how Doctoral Networks implement international, intersectoral and interdisciplinary doctoral programmes that enhance researchers’ skills, employability and innovation capacity. It also addresses governance structures, supervision, recruitment procedures, deliverables, risk management and communication with the European Commission. Within the HemaFAIR context, the lecture provides guidance for coordinating and participating in MSCA projects, ensuring compliant, efficient and impactful project execution.
DOI: https://doi.org/10.5281/zenodo.16750265
Licence: Creative Commons Attribution 4.0 International
Keywords: European research projects, FAIR principles, HemaFAIR, Open Science, Project Management, Research Data Management
Target audience: Researchers, Data Scientist, Data stewards, Data managers, Students
Resource type: Lecture, Presentation, Training materials
Version: 1
Status: Active
Prerequisites:
No prerequisites. This material is intended as a first introduction to the Biomedical Ontologies
Learning objectives:
-Describe the purpose and structure of MSCA Doctoral Networks
-Identify the key elements required during the proposal preparation (pre-award phase)
-Understand the main components of the grant agreement and consortium agreement
-Explain governance, supervision and recruitment procedures in MSCA projects
-Recognise the financial, administrative and reporting obligations in the post-award phase
-Apply good project-management practices to ensure successful implementation and impact
Date published: 2025-07-28
Contributors: Petros Kountouris, Ronald Cornet
Scientific topics: FAIR data, Data management, Open science
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