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Why ARGOS

Bringing structure to outputs.

More than a form-based system. ARGOS is the research workflow orchestrator that turns planning into action.

What ARGOS Brings to You

Templates cover the full range of research outputs and responsibilities. They can be tailored to reflect specific disciplinary practices or institutional needs, ensuring that all relevant aspects of research are addressed.
Permissions and roles enable involvement from data stewards, ethics committees, legal advisors, IT departments, and more. Contributors engage where needed, improving oversight and reducing duplication.
Templates, workflows, and criteria can be configured to reflect institutional or funder requirements. Planning becomes an integrated part of organisational operations, not a disconnected task.
APIs and tokens enable automated publishing, metadata export, review triggers, and reporting. Planning connects to existing infrastructure, reducing administrative overhead.
Plans can be updated, versioned, and linked to outputs as research progresses. This ensures they remain accurate, usable, and aligned with real-world workflows.

Why Choose ARGOS

Actionable Orchestration Model

Most tools treat planning as a form to fill out. ARGOS makes it operational. It connects plans with real actions by assigning roles, coordinating updates, and triggering outputs across systems and services. It adapts to different policies and workflows, but always keeps planning active, traceable, and aligned with research realities. With ARGOS, research teams move together with clarity, and institutions gain control over how planning is done—not just collected.

Tailored to Research Realities

ARGOS adapts to the way research is actually done. Whether you’re working alone, in a distributed team, or supporting a national community, you define the structure, roles, and review process. Plans are shaped by your needs, aligned with your environment, and flexible enough to evolve with your workflows, all without losing clarity or control.

Effortless Setup and Onboarding

No heavy lift required. Your ARGOS environment comes pre-configured with everything you need to start—from templates and workflows to user roles and visual identity. Whether you're testing a template or rolling out across institutions, ARGOS scales to fit your goals, making it easy to embed planning where it belongs.

Support that Grows with You

ARGOS is not a one-time setup. It’s a service that grows alongside your needs. You get hands-on support to align with evolving policies, improve planning practices, and train your teams. As Open Science expectations change, your planning environment keeps pace so you can stay compliant, connected, and confident.

Built for Policy and Practice

ARGOS turns policy into action. You don’t just describe what’s required—you embed it directly into templates, guidance, reviews, and evaluation. That means planning reflects real expectations, responsibilities are clear, and everyone involved—from researchers to funders—knows what matters and how to meet it.

Open Science from the Start

Planning in ARGOS is built to connect with the open ecosystem. It links to repositories, research outputs, the OpenAIRE Graph, and other services to support sharing, tracking, and reuse. Researchers are supported to make their work FAIR. Institutions and funders gain visibility. And Open Science becomes a default, not an afterthought.

Seamless Interoperability

ARGOS fits into your digital workflows. Through plugins and APIs, you can connect it to CRIS, repositories, validation tools, export pipelines, and more. Automate the steps that slow you down. Sync information across systems. And turn planning into a process that works in the background so you can focus on the research.

ARGOS' Journey

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.

Other OpenAIRE Services and Integrations

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