Guides thématiques: Données de la recherche: To obtain funding

IN ENGLISH!

Boost your funding requests with a "FAIR", paragraph
Funding agencies are asking research teams to include a "data" section in their project proposals to help the re-use of the data. It explains how these teams plan to structure, archive and share their data. The length of this paragraph may vary from one funder to another. Examples of questions to ask oneself: among the data collected or generated during the project, are there any that should be shared? Where will the data be stored during the project? Will the data be archived in the long term and will it be disseminated? And to whom? What technical and legal expertise is required for the storage, deposit for distribution and long-term digital archiving of your data? We can help you with this or write the paragraph for you.
► For more information on this specific service:
cyril.heude@sciencespo.fr
► And more broadly, unrivalled support in setting up your research projects thanks to the colleagues at Sciences Po's Maps - Mission d'appui aux projets scientifiques.

Further information
► A guide from Utrecht University for calculating data management costs
► A guide for Horizon Europe MSCA projects
► A few points by data type that can be flagged up in the PGD-DMP if you want extra funding:

Data processing status	Datasets	Data types	Costs
Raw data	Interviews	Audio files	Rental of audio equipment Space rental costs Data storage & backup
Processed data	Interview transcripts	Word files	Staff cost: recruitment of research assistants for manual data entry Data storage & backup
	Data analysis software	R Script	Staff cost: developer to write a data mining program.
Analysed data	Regression graph	Photoshop files	Software costs
	Project website	HTML, Java	Hosting costs Staff to build website architecture

Sciences Po's Data Management Plan Template
The Data Management Plan is a single document which gathers previously scattered information about the life cycle of the data both produced and collected during the lifetime of the research project: collection, analyse, storage during the project, long-term archiving after the project, sharing, reuse and again collection, analyse… This document aims at helping you comply with the FAIR principles in the best possible way: Findable, Accessible, Interoperable, Reusable. This initiative represents a return on investment for French and European funding agencies. You are invited to give access to the data selected for their relevance and their reuse potential. This access can be provided to the research community of the project, researchers from other scientific disciplines or even the entire society. The most important advice in this process is to put oneself in the reuser’s position and give all the necessary information for the data to be reusable by someone who hadn’t participated in the project. If you decide not to share the data, you will have to specify why.