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ARGOS
Why ARGOS

Bringing structure to outputs.

ARGOS Goes Beyond Data Management

Here add features and what makes argos unique

The digitalisation of the research landscape coupled with the rapid uptake of Open Science globally intensified the need for curation of produced digital research content such as datasets, software and workflows. Planning preemptively research activities and outputs allows for better handling and organisation of scientific information and ensures best practices are followed. This provides a comprehensive overview of the research conduct and brings together researchers with other actors in the ecosystem. ARGOS is developed in such a way to address these needs.

ARGOS

FROM DATA MANAGEMENT TO ORGANISING AND CONNECTING RESEARCH OUTPUT MANAGEMENT ACTIVITIES

Diverse Output Overview: ARGOS enables administrators to develop Templates that guide researchers into following best practices while staying organised which they can then include in Blueprints that they create to structure Plans and connect them to administrative workflows/services for support. Researchers use these Blueprints to draft their Plans providing information about their research output activities (datasets, software and workflows, etc) which can then be reviewed by peers. Plans can be versioned at any time throughout the research lifecycle.

Closing the Management Lifecycle: A Plan in ARGOS is validated against FAIR principles and other set criteria, before being finalised and then published to external resources which are harvested by scientific knowledge graphs, such as the OpenAIRE Graph, supporting a 360o view of research.

Creating new traditions

The rise of DMPs

DMPs made their appearance in the 1960s with the rise of sectors that inherently yielded a higher amount of data. Despite their early emergence as a useful tool to plan data management activities, DMPs weren’t largely adopted until the 2000s. Today this is a standard practice, indispensable for the success of projects and organisations.
ARGOS captures all DMP elements while closing the DMP lifecycle and aligns with FAIR principles.

Enhancing DMPs with Software

In recent years, there has been an increasing need to record software management practices in DMPs. There have even been efforts suggesting that Software Management Plans be created as individual entities. ARGOS allows for the realisation of both of these types of plans.

Towards Reproducibility Management Plans (RMPs)

Anticipating the future, ARGOS is expanding the scope of Plans with pilots focused on reproducibility. These are aimed to increase the understanding and adoption of best practices that allow for research to be reproduced that would otherwise not be, thus increasing trust, integrity and efficiency.

The Era of Artificial Intelligence

The practice of documenting data is not foreign to the Artificial Intelligence field; on the contrary it is necessary to secure non-discriminatory outcomes. Efforts in the machine learning community have standardized this process through datasheets supported in ARGOS.