Training Materials

This section presents the methodological and capacity-building legacy consolidated within the GREENGAGE Academy.

This section presents the complete set of training materials produced by the project. These materials cover ethical, scientific, technical and data-related competencies and reflect the transition from project-led training to the creation of reusable, standalone learning resources.

Citizen Science and GREENGAGE Observatories

Citizen Science within GREENGAGE Observatories

Educational / Explainer Video

GREENGAGE Consortium

English

Potential Citizen Scientists & General Public

This video provides an accessible introduction to Citizen Science for new volunteers, defining it as a collaborative effort in which ordinary people actively participate in solving real-world problems by collecting and analysing data.
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Training on Ethical Management Plan and Activities

Training Session 01: Ethical Management Plan and Activities

Educational / Training Video

University of the West of England (UWE Bristol) – Dr. Amanda Ramsay

English

Pilot Coordinators, Researchers & Citizen Science Facilitators

This foundational training session establishes the ethical framework for all GREENGAGE activities. It emphasises that ethics is not merely a procedural "tick-box" exercise, but rather a core value system centred on respect, inclusivity, and participant safety.
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Training on Data Science and Data Management

Training Session 02: Data Science and Data Management

Educational / Training Video

University of Deusto (Dr. Mikel Emaldi Manrique)

English

Data Analysts, Researchers & Citizen Science Facilitators

In this training session,Dr. Mikel Emaldi Manrique from the University of Deusto provides a fundamental introduction to the data lifecycle in citizen science projects.
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Training on Data Standards

Training Session 03: Data Standards for GREENGAGE project

Educational / Training Video

University of the West of England (UWE) – Dr. Trupti Padiya

English

Technical Partners, Data Managers & Pilot Leads

In this training session, Dr. Trupti Padiya from the University of the West of England (UWE), defines data standards as essential technical specifications – rules and guidelines – that determine how data is defined, processed, and transmitted.
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Training on Data: Practical considerations

Training Session 04: Practical Considerations when dealing with Data

Educational / Training Video

Breda University of Applied Sciences (BUas) – Dr. Sjors Martens

English

Citizen Scientists, Policy Makers & Researchers

In this session, Dr. Sjors Martens from Breda University of Applied Sciences (BUas), focuses on the critical "pitfalls" encountered before data collection even begins.
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Training on Sensory Data: From the street and from the Earth

Training Session 05: Sensory Data from the Street and from Earth

Educational / Training Video

University of Deusto (Dr. Ruben Sánchez Corcuera)

English

Citizen Scientists, Data Analysts & Technical Teams

In this training session, Dr. Ruben Sánchez Corcuera from the University of Deusto, focuses on integrating global and local datasets to create rich, multi-layered maps for environmental monitoring.
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Training On Location Based Mobility Data

Training Session 06: Location-based Mobility Data

Educational / Training Video

MindEarth – Dr. Alessandra Feliciotti

English

Data Analysts, Researchers & Public Authorities

Dr. Alessandra Feliciotti from MindEarth delivered this training session, which introduces the concept of high-frequency location-based mobility data, distinguishing it from traditional static census data by capturing the dynamic movement of populations throughout the day.
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Training on Remote Sensing and Use Cases

Training Session 07: Remote Sensing

Educational / Training Video

University of the West of England (UWE) – Dr. Kamran Soomro

English

Urban Planners, Environmental Analysts & Policymakers

In this training session, Dr. Kamran Soomro from the University of the West of England (UWE) explores the applications of remote sensing in urban and environmental planning.
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