Page Comparison

Domain expert

Domain experts have deep knowledge and expertise in a particular domain. They have a deep understanding of the intricacies, challenges, and nuances of their field.

• Define FAIRification objectives

• Apply data semantics

FAIR Data Steward / Data data manager

Individuals responsible for managing and curating research or healthcare data within organisations or projects. Job title and exact activities and responsibilities vary between organisations. In the Metroline steps we will refer to this role as “data steward”. Details on this role in the team are described in a separate step Have a FAIR data steward on board.

• Define FAIRification objectives

• Pre-FAIR assessment

• (Apply data semantics: Data specialist??)

IT and Systems Administrators

Professionals responsible for maintaining data infrastructure(s) and ensuring technical compatibility and accessibility for an organisation or department.

• Potentially: Transform and expose FAIR (meta)data

Policy maker

Decision-makers responsible for research data management policies that promote FAIR data practices within an institute.

• Potentially: Obtain informed consent

Research Software Engineer

A Research Software Engineer (RSE) is a professional with in-depth knowledge of one or more research fields and expertise in software development and methodology. To address research issues and find solutions within their field of study, RSEs concentrate on creating and/or maintaining research software.

• Pre-FAIR assessment

Semantic data modelling specialists

A semantic data modelling specialist is primarily responsible for designing and implementing semantic data models. These models are a representation of knowledge and concepts in a structured format that a computer can understand. They use tools like RDF, OWL and SPARQL.

• (Define FAIRification objectives: FAIR experts??)

Trainer

Professionals involved in training and educating others, such as PhD students, postdocs, researchers, technicians and PIs. In case of FAIR related training this includes practices for managing and sharing data.

• Potentially: Get training

EDC system specialist

Individual who has experience with and knowledge of Electronic Data Capture (EDC) systems, such as Castor EDC, REDCAP or OpenClinica. They are in charge of setting up user access, data validation checks and electronic case report forms in the EDC system. They offer technical help to researchers and ensure data integrity and regulatory compliance.

Information Professionals

Librarians, archivists, and information scientists involved in organising and preserving data assets.

Potentially relevant in the future if we e.g. add a new step to the Metroline which involves archiving of the data

Institutional Review Board (IRB) / Medical Ethics Review Committee (METC)

Evaluate research protocols and ensure the research complies with regulatory requirements and ethical standards. For research to which the WMO (Medical Research Involving Human Subjects Act) is applicable, evaluation must be done by an accredited METC or by the CCMO (Central Committee on Research Involving Human Subjects).

<On access policies applicable to the resource>

IT and Systems Administrators

Professionals responsible for maintaining data infrastructure(s) and ensuring technical compatibility and accessibility for an organisation or department.

Policy maker

Decision-makers responsible for research data management policies that promote FAIR data practices within an institute.

Principal Investigator

Leads a clinical trial or research project. Responsible for following the data management requirements and guidelines of the organisation and/or funder. Decisions regarding data management are documented in the DMP (data management plan).

Researcher / scientist

Professionals involved in collecting, analysing, and sharing data as part of a clinical trial, research project or other scientific endeavors.

Research Software Engineer

A Research Software Engineer (RSE) is a professional with in-depth knowledge of one or more research fields and expertise in software development and methodology. To address research issues and find solutions within their field of study, RSEs concentrate on creating and/or maintaining research software.

• Pre-FAIR assessment

Semantic data modelling specialists

A semantic data modelling specialist is primarily responsible for designing and implementing semantic data models. These models are a representation of knowledge and concepts in a structured format that a computer can understand. They use tools like RDF, OWL and SPARQL.

• (Define FAIRification objectives: FAIR experts??)

Senior expert of standards for automated access protocols and privacy preservation

Has expertise with standards for protocols for secure and automated access to sensitive data while preserving privacy. They guarantee adherence to pertinent guidelines and laws, such the GDPR.

<this sounds super niche, maybe remove?>

Senior healthcare interoperability expert

A healthcare interoperability expert is responsible for ensuring smooth communication and data interchange between various healthcare systems and applications, including electronic health records and medical devices. In compliance with legal requirements, they create, put into practice, and uphold interoperability standards and protocols that facilitate the safe and effective interchange of patient data.

• Potentially: Query (use) over resources

Trainer

Professionals involved in training and educating others, such as PhD students, postdocs, researchers, technicians and PIs. In case of FAIR related training this includes practices for managing and sharing data.