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Teresa e Alexandre Soares dos Santos
Research Data Management (RDM) refers to the organization, storage, preservation, and dissemination of data produced or used during the research process. It involves the development and implementation of strategies and processes to ensure that research data is effectively handled throughout its lifecycle. The diagram below illustrates some key facets of research data management:
Effective research data management is crucial for ensuring the authenticity, availability, and sustainability of research data, as well as for meeting ethical, legal, and funding agency requirements. As illustrated, the first step in best practices is creating a Data Management Plan (DMP).
A DMP is a formal document that outlines how research data will be handled during and after a project. DMPs are frequently mandated by funding agencies as an integral part of the grant application process. The following steps are a good starting point for the development of your DMP:
Having outlined the key points for creating a Data Management Plan (DPM), it’s essential to consider that each funding agency may provide a template to follow, as is the case with the Portuguese Foundation for Science and Technology (FCT).
The FCT, through its FCCN Unit, offers a Data Management Plan System based on the ARGOS tool from the OpenAIRE project, incorporating the best practices in research data management. ARGOS integrates the FCT data management plan model, providing researchers with a tool to prepare and update their plans. Click here for additional information.