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Status
colourRed
titlestatus: in development

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Has understanding/knowledge about:

  • Architectural features of the software that is (or will be) used for managing the data

  • FAIR software services and their deployment

  • Global standards for data access 

  • Global standards applicable to the data resource interoperability

  • The data to be FAIRified and how they are managed 

    Has understanding/knowledge about:

    • FAIR software services and their deployment

    Expert

    Description

    Metroline Steps

    Domain specialist

    Domain Experts are individuals who possess specialists have deep knowledge and expertise in a particular domain or industry. They have a deep understanding of the intricacies, challenges, and nuances of their field. Their expertise comes from their years of experience and interactions within their specific domain. (copy-paste)May have relevant expertise about:

    • Access policies applicable to the resource

    • Semantic data modelling

    • The data to be FAIRified and how they are managed 

    • The domain and on what is a data resource is used for

    FAIR Data Steward/Data manager

    Individuals responsible for managing and curating research or healthcare data within organizations 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 Have a FAIR data steward on board”.

    May have relevant expertise about:

    • The data to be FAIRified and how they are managed 

    • Global standards applicable to the data resource interoperability

    • Global standards for data access 

    • Semantic data modelling

    • The data to be FAIRified and how they are managed 

    • The FAIRification process (guiding and monitoring it)

    • Access policies applicable to the resource

    • Global standards applicable to the data resource interoperability

    • Global standards for data access 

    • Semantic data modelling

    • The data to be FAIRified and how they are managed 

    • The FAIRification process (guiding and monitoring it)

    EDC system specialist

    Health-RI expert team

    Should HRI expert team be in here?

    board.

    EDC system specialist

    Individual who has experience with and knowledge of Electronic Data Capture (EDC) systems, such as Castor EDC, REDCAP or OpenClinica.

    Information Professionals

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

    Institutional Review Board

    The IRB is concerned with protecting the rights of human subjects and is charged with the responsibility of reviewing research to which the Medical Research Involving Human Subjects Act is applicable involving human participants.

    Mooie zin van maken

    a committee at an institution that applies research ethics by reviewing the methods proposed for research involving human subjects, to ensure that the projects are ethical. The main goal of IRB reviews is to ensure that study participants are not harmed (or that harms are minimal and outweighed by research benefits

    https://www.amsterdamumc.org/en/research-support/ethical-review.htm

    IT and Systems Administrators

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

    Policy maker / Institutional Ethical Review Board

    Decision-maker involved in shaping makers responsible for research data management policies that promote FAIR data practices .

    Has understanding/knowledge about:

    • Access policies applicable to the resource

    Patient advocate for the domain

    Has understanding/knowledge about:

    • The data to be FAIRified and how they are managed 

    • The domain and on what is a data resource is used for

    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, analyzing, and sharing data as part of a clinical trial, research project or other scientific endeavors.

    Research Software Engineer

    TODO

    Research software engineers (RSE) design, develop and maintain software systems that help researchers reach their scientific goals.

    You are responsible for the implementation of IT infrastructure solutions and the access to data and software.

    Research software engineers (RSE) in the life sciences design, develop and maintain software systems that help researchers manage their software and data. The RSE’s software tools and infrastructure are critical in enabling scientific research to be conducted effectively. (copy-pasted)

    Has understanding/knowledge about:

    • Architectural features of the software that is (or will be) used for managing the data

    • FAIR software services and their deployment

    Semantic data modelling specialists

    Has understanding/knowledge about:

    Semantic data modelling

    Mijke, since you were involved in RDMkit, do you know what they mean here? It’s called a “software engineer”, but we don’t see them engineering software / writing scripts in the description given by RDMkit.

    Semantic data modelling specialists

    A semantic modeler is a specialist responsible for creating and managing semantic models. These models are a representation of knowledge and concepts in a structured format that a computer can understand.

    Senior expert of standards for automated access protocols and privacy preservation

    Has understanding/knowledge about:

    • Global standards for data access 

    Senior healthcare interoperability expert

    Has understanding/knowledge about:

    • Global standards applicable to the data resource interoperability

    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.

    Potential Todo:

    • Add [Generic] expertise list to each of the Experts in the table (if possible)

    • Rewrite some descriptions that are copy-pasted

    • Verify Expertise already mentioned in step exists here

    ...

    → In list form, expertise required:

    1. The data to be FAIRified and how they are managed,

    2. the domain and the aims of the data resource within it

    3. architectural features of the software that is (or will be) used for managing the data

    4. access policies applicable to the resource

    5. the FAIRification process (guiding and monitoring it),

    6. FAIR software services and their deployment,

    7. data modelling,

    8. global standards applicable to the data resource

    9. global standards for data access.

    [RDMkit]

    Perhaps: https://rdmkit.elixir-europe.org/dm_coordination

    ...

    The VASCA FAIRification core team consisted of a local data steward, an external FAIR data steward, and an EDC system specialist. Throughout the project, additional expertise was consulted, such as a clinician specialised in vascular anomalies, the Institutional Ethical Review Board, FAIR software developers, and researchers. A full overview of the different kinds of expertise and which part of the FAIRification process they contributed to can be found in TableS1

    Links to demonstrator projects. 

    ...