Data Management Plan – key requirement for successful grant applications

Generating a data management plan (DMP) is key to successfully manage research data. Having a clear and well-documented data organization enables researchers to keep track of their data, answer to research funders and allow secondary data use by other researchers.

A DMP is generally created during the early stages of a research project and contains concise descriptions of all stages of the data lifecycle, from data creation to data preservation. Collection, documentation, short- and long-term storage as well as access permissions, backup options and terms for sharing of data are addressed in a comprehensive DMP. Even though DMPs are often written in the very beginning of a project, a DMP is not a static document, it matures over the course of the project and requires constant updating to fulfill its purpose.

An efficient way to start thinking about a DMP is looking at research data from the perspective of a secondary data user. Which metadata tags will help other researchers find my data? Which standards are used in my research area? Where should my data be stored and who should be able to access it? To determine whether data is suitable for answering specific research questions, secondary data user need to understand exactly how data was collected, organized and possibly manipulated (e.g., normalized). Therefore clear documentation in a DMP is key for data reusability.

As part of the European Commission’s (EC) effort towards Open Science, DMPs are becoming key components of successful grant applications. Research funders hereby emphasize the relevance of secondary use of research data to enable and improve knowledge discovery and innovation. The EC recommends the implementation of FAIR guidelines (insert link to blog post FAIR guidelines) in Horizon2020 calls to make research data Findable, Accessible, Interoperable and Reusable. At The Hyve we strongly support Open Science ambitions and therefore promote the implementation of FAIR principles by supporting researchers in FAIR-ifying their data.

Please contact us to learn how we can support you in creating a comprehensive data management plan.

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