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the role, including nearly identical roles between brackets;
identical roles are not used on Metroline pages;
if you’re interested in pages that use an identical role (e.g. “data manager”) , look for pages with the main role (e.g. “data steward”);
note that the identical roles mentioned are not exhaustive.
a description of the role;
specific variants of a role, such as “a researcher with domain knowledge”;
in which steps (the variant of) a role is used.
The roles and descriptions in the table are based on adjusted from the EOSC Digital skills for FAIR and open science report and the NPOS Professionalising data stewardship in the Netherlands: competences, training and education report, Some roles not considered relevant were left out from the table and some that were deemed missing were added. With the with the exception of the researcher and citizen role, the mentioned roles are often summarised as (research) data support professionals.
Expert
Description
Metroline Steps
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 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 “(FAIR) 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
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
Decision-makers responsible for research data management policies that promote FAIR data practices within an institute.
Potentially: Obtain informed consent
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??)
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
Expert
Description
Metroline Steps
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.
Role | Description | Usage | Metroline steps | |
|---|---|---|---|---|
Researcher (Scientist) | A researcher obtains, processes, produces, deposits and shares research data,. | Researcher with domain knowledge |
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Researcher with XYZ | ||||
Data scientist | A data scientist is an expert on data processing, not necessarily from a specific discipline, who is capable of evaluating data quality, extracting relevant knowledge from data and representing such knowledge. | Data scientist | ||
Research software engineer | A growing number of people in academia combine expertise in programming with an intricate understanding of research software engineer is an ICT expert who designs, implements, maintains and/or integrates services and software to enable FAIR and open science, ensuring the fulfillment of software quality, reproducibility and sustainability.. These Research Software Engineers may start off as researchers who spend time developing software to progress their research or they may start off from a more conventional software-development background and be drawn to research by the challenge of using software to further research. For an elaborate overview of this role see the aforementioned NPOS report, chapter 4. | Research software engineer | ||
Infrastructure professional (IT and Systems Administrators) | An infrastructure professional is an ICT IT expert who manages and operates infrastructures and the necessary services for the storage, preservation and processing of data. | Infrastructure professional | ||
Trainer (Educator) | A trainer is an expert who designs, organises, shapes content and manages and/or coordinates training activities, participating in the delivery of the training. | Trainer | ||
Data curator | A data curator is an expert on the management and oversight of an organisation's entire data to ensure compliance with policy and/or regulatory obligations for longterm preservation and to provide higher-level users with high quality data that is easily accessible in a consistent manner. | Data curator | ||
Data steward (Data librarian, Data manager) | A | data steward is an expert on the preparation and treatment of data including data selection, storage, preservation, annotation provenance and other metadata maintenance, and dissemination. Data librarians are professional library staff who are experts on RDM, using research data as a resource or supporting researchers dealing with data (description, archiving and dissemination). Other closely related roles will also be considered under this categoryperson responsible for keeping the quality, integrity, and access arrangements of data and metadata in a manner that is consistent with applicable law, institutional policy, and individual permissions. Data stewardship implies professional and careful treatment of data throughout all stages of a research process. A data steward aims at guaranteeing that data is appropriately treated at all stages of the research cycle (i.e., design, collection, processing, analysis, preservation, data sharing and reuse). Details on this role in the team are described in a separate step Have a FAIR data steward on board. | FAIR data steward |
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Semantic expert (Metadata expert, interoperability expert) |
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Data steward with EDC knowledge | ||||
Citizen | Citizens in this context are any kind of people having interest in one or several scientific disciplines (including, but not limited to, the open source community or commercial companies undertaking research), who want to get information or contribute to a citizen science initiative or other initiatives of general public interest, or have their own interest in learning and addressing a specific challenge which is not part of his/her professional activity. | Citizen with domain knowledge |
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Policy maker | Policy makers gather information through consultation and research, and reduce and extract from the information a policy, set of policies or a strategic framework which serve to promote a preferred course of action and could include financial support to research. | Policy maker | ||
ELSI expert<official description? | ELSI Servicedesk?>ELSI experts provide guidance and answers to the ethical, legal and social implications of research on personalised medicine and next generation sequencing Guidance and answers to the ethical, legal and social implications of research on personalised medicine and next generation sequencing Life science professionals, policymakers and patients are faced with ethical, legal and social questions around Personalized Medicine research. The ELSI Servicedesk website and ELSI experts answer frequently asked questions. On the helpdesk one of the ELSI experts will answer questions. |
The table is based on information from The de novo FAIRification process of a registry for vascular anomalies, RDMkit, Netherlands eScience center and practical experience.
. | ELSI expert |
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To be decided:
Expert | Description | Metroline Steps | ||||
|---|---|---|---|---|---|---|
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. | Decision-makers responsible for research data management policies that promote FAIR data practices within an institute. | ||
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. |
A
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Pre-FAIR assessment
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Semantic data modelling specialists
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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.
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(Define FAIRification objectives: FAIR experts??)
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Senior expert of standards for automated access protocols and privacy preservation
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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.
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<this sounds super niche, maybe remove?>
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Senior healthcare interoperability expert
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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.
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Potentially: Query (use) over resources
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FAIR
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data
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A FAIR data steward is a data steward with specialistic FAIR skills/knowledge
Todo:
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Rewrite some descriptions that are copy-pasted → done?
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Verify Expertise already mentioned in step exists here
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Hier nog naar kijken: https://research-dream-team-toolkit.readthedocs.io/en/latest/scenario.html
Zie onderaan
Even more roles can be found on the website of the dream team toolkit.
Patient advocate is also mentioned in De novo…
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Played a role in interpretation of the data elements
In the FAIRification objectives step the following expertise is mentioned:
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Apply data semantics
Data specialist: can help with understanding of data structure,
FAIR experts
It is the responsibility of a FAIR (Findable, Accessible, Interoperable, and Reusable) specialist to ensure digital assets and data follow the FAIR principles. Tasks involve developing and implementing plans to enhance data discoverability via metadata enhancement and standardised identifiers, ensuring accessibility by instituting appropriate data storage and access methods and fostering interoperability by adopting shared data standards and formats.
ELSI experts
Assessing and handling the ELSI (Ethical, Legal, and Social Implications) components of research in domains like genetics and medicine falls under the purview of an ELSI specialist. They offer direction on how to handle difficult ethical dilemmas involving data sharing, privacy, informed consent, and possible societal repercussions of research findings.
[HANDS]
In short, the responsibilities of the key players are:
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