Scenario

This document helps to create scenarios of research cases that can be discussed within a workshop. We present the original scenario and questions used in our workshop and the rationale behind it. We also generalise a list of core elements that can be selected to construct new scenarios.

Original scenario

This is the scenario we drafted for the workshop.

Magic Mirror (M&M)

The Magic Mirror (M&M) project aims to develop a personalised health mirror. You look in a mirror every day, the mirror monitors your health based on your look and not only gives you health tips (e.g. sleep more, drink more water), but also tells you which diseases you might have and reports to your GP.

You are partnering with other institutions and commercial partners to develop, test and bring this product to the market. The consortium is composed of the following partners:

  • 3 universities (design, develop, test the product)

  • 1 industrial partner (co-design, develop, sell the product)

  • 1 health insurer (co-design, consume data)

  • 1 NGO (test, sell, use the product)

  • 1 Patient group (co-design, development, test the product)

  • Citizens (co-design, test the product)

In this scenario, the research topic is in the domain of health care. We chose to set up a large consortium with various types of stakeholders, including higher education institution, commercial companies, non-profit organisations, and individuals. Given the research domain and consortium set up, it requires numerous areas of expertise to handle, among others, privacy, ethics, legal and security issues.

Core elements of a suitable scenario

It is important to design your scenario with a certain level of complexity. The complexity can be related to the number and diversity of stakeholders involved in the research project and/or the stage(s) of the research life cycle the scenario focuses on.

The number and types of stakeholders that are involved in the research activities have an influence on the research management. It is more likely that a project of a smaller size with similar types of stakeholders is easier to manage than a larger project, with different types of organisations and participants involved. In order to provide an illustrative case for the importance of diverse contributions and skills for achieving research objectives, it is preferable to develop a scenario which involves different types of stakeholders (e.g. public or private organisations, researchers, engineers, data stewards, lawyers, communication experts etc.).

Activities and objectives vary through the stages of the research life cycle. A typical research lifecycle includes:

  • Identifying research question and objective

  • Securing funding

  • Literature review

  • Research design

  • Data collection

  • Research analysis

  • Dissemination of research outputs

  • Valorisation

Attention should also be paid to domain-specific issues where the complexity lies.

You are free to design your scenario to cover one or multiple (or all) research stages that suit your purpose. In each research stage, different activities can take place which require different types of expertise (non-traditional researchers). It is ideal that your scenario could address issues that are associated with the research stage covered and domain specific issues. You could consider the areas of expertise and corresponding roles from the following table:

Areas of expertise

Roles

Privacy and security

  • Privacy and compliance officer

  • Data protection officer

  • Legal counsel

  • Information security specialist

  • Knowledge security officer

  • Cybersecurity analyst

  • IT security specialist

Ethics

  • Research ethics committee member

  • Research ethics board member

  • Ethicist / Ethics adviser

  • Diversity and inclusion officer

Commercialisation / valorsation

  • Business developer

  • Intellectual property specialist

  • Legal counsel

  • Technology transfer officer

  • Entrepreneurship advisor

  • Market and investment analysts

  • Product developer

  • Marketing and sales professionals

Citizen science / societal engegement

  • Community Engagement Specialist

  • Community Manager

  • Publication engagement officer

  • Participatory research manager

Communication, education and outreach

  • Communication Specialist

  • Science writer / editor

  • Event manager

  • Education & outreach coordinator

Data and software

  • Data steward

  • Data manager

  • Data curator

  • Data scientist

  • Research software engineer

Project administration

  • Project manager

  • Finance / business control

  • Contract manager

  • Research administrator

Project funding

  • Grants officer

  • Grants adviser

  • Policy and strategy adviser

Infrastructure and instrumentation

  • Research infrastructure developer

  • Research application manager

  • Instrumentation engineer

  • Technician

  • Laboratory Manager

  • Infrastructure manager