The management of research data is an integral part of the research process and aims to make it as efficient as possible.
It takes into account the entire data life cycle as well as the global context of the research (ethical, informational, IT/technical, legal, etc. issues). In addition, it ensures compliance with the current requirements of universities, public funders, scientific editions and current regulations and legislations.
The way in which data are managed varies according to the type of research project (individual or collective, national or international, public or private funder, etc.) and according to the data themselves (their nature, type, mode of collection and production, processing, analysis, etc.).
Good practices for managing research data include :
Managing your data allows you to :
Generally, the management of research data is the responsibility of the researchers who collect and produce the data.
However, many other people are involved in the research process to ensure data integrity, quality or security. It is therefore crucial to clearly define and assign, at the very beginning of the project, the roles and responsibilities of the various stakeholders, such as :
The costs associated with data management and sharing vary from one research project to another and are sometimes very significant. Therefore, it is important to anticipate them in advance when planning the project and, to some extent, try to reduce them as much as possible.
These costs include both data management and sharing activities (e.g. anonymization/desidentification, file conversion, documentation, cleaning, transcription, etc.), in terms of time and resources (human, financial, material, etc.). Unfortunately, there is no absolute method for calculating the costs intrinsically related to the nature of the research project and the data. As an indication, according to the High Level Expert Group on the European Open Science Cloud (European Commission), about 5% of research expenditure should be devoted to data management.
In concrete terms, the cost assessment is carried out in the Data Management Plan or when applying for funding/subsidies from a donor.
For more information, see our storage & security pages.
The costs of making research data collected, observed or generated with SNSF funding available are eligible under the conditions set out in the RE art. 2.13.
It should be noted that the costs charged to a grant must relate to the storage of data that have a thematic link with the research funded by the SNSF.
As a general rule, a maximum of CHF 10,000 can be charged per grant. The costs must already be taken into account when submitting the request.
Eligibility for reimbursement during the duration of the project is defined in the standard grant agreement, mainly in Art. 6 (eligible and ineligible costs), and more precisely in clause 6.2.D.3.
Research data management - an introduction, University of Montréal's Library, 2016