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titlestatus: in development

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Expert

Description

Metroline Steps

Clinicians specialised in the domain

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

Has understanding/knowledge about:
or
May have relevant expertise about:

I changed to the latter, since they don’t necessarily always have the knowledge you’re looking for. Let’s decide on Friday.

Domain Experts are individuals who possess 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)

Data manager

Has understanding/knowledge about:

  • The data to be FAIRified and how they are managed 

A data manager is a professional who oversees the development and use of data systems, ensuring effective data management, secure procedures, and data analysis. They enforce policies, establish data sharing rules, and troubleshoot data-related issues for organizations (copy-pasted).

EDC system specialist

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 

I’m not sure what job this is (something you could find on e.g. indeed) Part of Clinical Data Manager? If I look here in example 3 that seems to overlap?

We could also write our own description, e.g.:
A professional who has knowledge of EDC systems.

FAIR data stewards

<See the other page>

  • 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)

Maybe we can add FAIR and local data stewards as 1 entry here - data stewards or perhaps (FAIR) data stewards? We keep the list (add the “access policies” entry to make it complete?). It’s probably easier to discuss data stewards on the separate page, also given the distinction made in both Fieke’s link and rdmkit

Health-RI expert team

Has understanding/knowledge about:

  • FAIR software services and their deployment

Should HRI expert team be in here?

Institutional Ethical Review Board

Has understanding/knowledge about:

  • Access policies applicable to the resource

Local data stewards = Data Steward

Data stewardship is a relatively new profession and a catch-all term for numerous support functions, roles and activities. It implies professional and careful treatment of data throughout all stages of a research process.

Has understanding/knowledge about:

  • 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)

(copy-pasted)

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

Semantic data modelling specialists

Has understanding/knowledge about:

  • Semantic data modelling

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

Software developer = Research Software Engineer

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.

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

(copy-pasted)

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Data FAIRification requires different types of expertise and should therefore be carried out in a multidisciplinary team guided by FAIR data steward(s). The different sets of expertise are on i) the data to be FAIRified and how they are managed, ii) the domain and the aims of the data resource within it, iii) architectural features of the software that is (or will be) used for managing the data, iv) access policies applicable to the resource, v) the FAIRification process (guiding and monitoring it), vi) FAIR software services and their deployment, vii) data modelling, viii) global standards applicable to the data resource, and ix) global standards for data access. A good working approach is to organize a team that contains or has access to the required expertise. The core of such a team may be formed by data stewards, with at least expertise of the local environment and of the FAIRification process in general. 

→ 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

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