Planning Research Data Management (RDM) activities is crucial as it effectively lays the foundations for successful research conduct according to RTD best practices and requirements as well as it leads to validated and quality research outcomes at the end of the scientific project / endeavour. Data Management Plans (DMPs) implement RDM policies and describe the activities, means and effort needed to manage data generated, collected and / or re-used by researchers. Moreover, they are seen as outputs that address data reproducibility issues, continuously updated with new data as “living documents” of ongoing research. Hence, DMPs have rapidly entered Research Data Management Lifecycles (RDML), included at the beginning of the research process, and have been standardized in structure and content to be easily adoptable by funders, institutions and research communities. Following the scientific demand, unravels the necessity for flexible and action-capable tools to deal with data management plans that enable research links and information contextualization while also steering compliance with the FAIR data concept.
The demo is about Argos, OpenAIRE’s machine actionable DMP service, also available as an EOSC resource. Argos is a ready-to-use RDA compliant service for creating and publishing DMP outputs. It is hooked into the OpenAIRE ecosystem and interconnects with its underlying services and the Research Graph to offer maximum capabilities for metadata contextualisation, integration with diverse research workflows, and validation of input data comprising DMPs. The demo brings attention to the full DMP lifecycle supported by Argos and highlights the roles of both end-users and service administrators. It also communicates dataset profiles and configuration possibilities through use cases with different scientific stakeholders: