Basic Show awareness of FAIR principles, relevant data policies of funders or journals, and legal and ethical requirements. Understand why funders have these expectations, why scientific organisations and research institutions support them, and what should be covered in the Data Management Plan (DMP).
Intermediate Describe how the research, thesis or dissertation objectives will draw on sources of evidence or materials, the methods that will be applied, and how outputs.
Expert Describe appropriate criteria to meet user and stakeholder expectations regarding implementation of FAIR principles, demonstrating in-depth understanding of data-driven research methods in your domain and the data sources, formats, and disciplinary norms applicable in your research field.
Basic Describe guidelines from relevant funders, journals or other organisations representing your domain, and identify what data, software or other objects will be reused or created, and how in general terms the FAIR principles will be applied to them.
Intermediate Following guidelines from relevant funders and domain organisations, describe how relevant standards and services will be used to make data or code findable, accessible, interoperable and reusable, and who is responsible for this.
Expert Determine appropriate criteria to meet stakeholder expectations regarding implementation of FAIR principles. Initiate process for managing data, code, or other outputs across the research team. Develop templates and contribute to local guidance, aligning this with data policies and processes of the organisation and funders. Give support and supervision to team members, and contribute to support services through your peer network.
Basic Proactively give advice or seek it from appropriate colleagues, data advisors and data service providers.
Intermediate Proactively give advice or seek it from appropriate colleagues, data advisors and data service providers.
Expert Proactively give advice or seek it from appropriate colleagues, data advisors and data service providers.
First stage researcher (R1)* Recognised researcher (R2) Established researcher (R3)* Leading researcher (R4)
Data scientist (R1) Recognised data scientist (R2)* Established data scientist (R3)* Leading data scientist (R4)
Data steward* Research manager User support, training and outreach* Ethics and data protection advisor Commercialisation advisor
Data librarian Service manager/ project manager Research software engineer Data service architect Archivist
Supports research groups to determine and fulfil appropriate criteria to reuse, manage, and share FAIR research outputs, and fulfil these expectations according to domain norms and standards.
Develops local policies and guidelines for publishing research data and related objects, and for selecting repositories that comply with relevant regulatory and policy frameworks.
Provides access to repository functions to ensure preserved research objects remain FAIR for as long as required, enabling these functions to interoperate with other systems or processes that provide or extract information to maintain or enhance FAIRness of the research objects held.