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Stay updated with the trainings and publications from Data for All - Data-driven Public Service Delivery in the North Sea Region!

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Trainings

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Training: Why Data Sovereignty is Vital for Communes?

Why data sovereignty is vital for communes?

Data sovereignty empowers communes to control their data, fostering trust, transparency, and better decision-making. In an era where municipalities use data for transport, safety, and waste management, sovereignty ensures they can access and manage this resource independently.

Follow the conversation on YouTube to learn more about the importance, challenges and opportunities of data sovereignty in communes.
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Introduction to open data and its value

Introduction to open data and its value

In this video, you will be introduced to the concept of open data - what it is, why it matters, and how it can be leveraged for various purposes. You will learn about the principles of open data, its significance in promoting transparency, innovation, and collaboration, and the ways it can be used across different fields, from research and business to governance and social impact.
 

Follow the conversation on YouTube to learn more about the open data and its value.
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Geographic open data

Geographic open data

In this video, we explore the concept of open geographic data - what it is, why it is important, and how it can be effectively shared. We will discuss the key benefits of making geographic data openly accessible, including improved urban planning, environmental monitoring, and community engagement. Additionally, we highlight the essential factors that municipalities need to consider when opening their geographic data, such as data quality, privacy concerns, technical standards, and legal frameworks.
 

Follow the conversation on YouTube to learn more about the geographic open data.
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Use and dissemination of open data

Use and dissemination of open data

In this video, we delve into the practical applications and distribution of open data. How can organizations, businesses, and individuals harness open data to create real value, both internally and externally? We explore concrete examples of how open data drives innovation, enhances decision-making, and fosters collaboration across sectors. Additionally, we discuss best practices for disseminating open data effectively, ensuring accessibility, usability, and impact. Looking ahead, we examine the future potential of open data, from AI-driven insights to smart cities and beyond.

Follow the conversation on YouTube to learn more about the use and dissemination of open data.
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Data-driven solutions in an urban context: project management flow

Data-driven solutions in an urban context: project management flow

In the first video training on the topic of the Data-driven solutions in an urban context we dive into project management flow.

Check the video training on YouTube to learn more about the data-driven solutions in an urban context and the project management flow
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Data-driven solutions in an urban context: intermunicipal cooperation

Data-driven solutions in an urban context: intermunicipal cooperation

In the second video training on the topic of the Data-driven solutions in an urban context we dive into the intermunicipal cooperation.

Follow the training on YouTube to learn more about the data-driven solutions in an urban context and the intermunicipal cooperation
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Data-driven solutions in an urban context: proof of concept

Data-driven solutions in an urban context: proof of concept

In the third video training on the topic of the Data-driven solutions in an urban context we dive into the proof of concept.

Follow the training video on YouTube to learn more about the data-driven solutions in an urban context and the proof of concept.
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Data for All: Interview with Andreas Winter, University of Oldenburg, on Data Interoperability

Data interoperability

At the University of Oldenburg, Germany, students actively participate in the Data for All project, tackling data interoperability challenges and learning new skills. 

Meet the Data for All partner Mr Andreas Winter, Professor on Software Engineering at Carl von Ossietzky University of Oldenburg, and check the interview with him on the data interoperability.
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Smart Data Interoperability: introduction

Smart Data Interoperability: introduction

In the first video training on the topic of the Smart Data Interoperability we provide a general introduction to the subject. This video introduces the concept of data interoperability within the Data4All project and explains how integrating mobility data - from buses and ferries to shared bikes and scooters - can improve the travel experience. It also presents the project’s case study and outlines what viewers will learn in the full video series.

Follow the training video on YouTube for the introduction to Smart Data Interoperability.
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Smart Data Interoperability: challenges

Smart Data Interoperability: challenges, dimensions and issues

In the second video training on the topic of the Smart Data Interoperability we dive into challenges. This video explores the key regulatory, ethical, organizational, and technical challenges that shape data interoperability, illustrating how differences in data formats, ownership, quality, and governance create complex barriers. It also highlights real-world issues identified in the Data4All project and explains why organizing these issues along data phases is essential for developing effective solutions.
 

Follow the training video on YouTube to learn about the challenges in Smart Data Interoperability.
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Smart Data Interoperability: Data Phases

Smart Data Interoperability: data phases

In the third video training on the topic of the Smart Data Interoperability we dive into Data Phases. This video introduces the key phases of the data lifecycle—from generation and storage to utilization and post-processing—and explains how cross-cutting issues like privacy, security, and ethics affect every step. It also shows how understanding these phases helps define the technical, organizational, and regulatory requirements needed for effective and responsible data interoperability in smart cities.

Follow the training video on YouTube on the topic of Smart Data Interoperability to learn about the Data Phases.
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Smart Data Interoperability: issues

Smart Data Interoperability: issues across phases

In this video training on the topic of the Smart Data Interoperability we dive into issues that users are facing when dealing with data interoperability. This video explores key issues that arise at different phases of data interoperability, including timeliness, duplication, metadata inconsistencies, technical challenges, and collaboration barriers. It shows how understanding these issues is essential for designing solutions that enable reliable, secure, and user-centered data integration in smart-city mobility systems.

Follow the training video on YouTube on the topic of Smart Data Interoperability to learn about the issues that you may face.
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Smart Data Interoperability: requirements

Smart Data Interoperability: requirements

In this video training on the topic of the Smart Data Interoperability we dive into requirements that users are facing when dealing with data interoperability. This video explains the key requirements for achieving effective and sustainable data interoperability in smart cities, including flexible and decentralized data access, scalability, organizational governance, timeliness, and semantic clarity. It highlights how these requirements go beyond technology, covering legal, ethical, and organizational aspects to ensure secure, reliable, and user-friendly integration of data across multiple domains.

Follow the training video on YouTube on the topic of Smart Data Interoperability to learn about the requirements that you may face.
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Smart Data Interoperability: solutions

Smart Data Interoperability: solutions

In this video training on the topic of the Smart Data Interoperability we dive into solutions. This video presents key solutions to address data interoperability challenges, including standards, data contracts, licensing, and clear documentation of privacy, access, and formats. It explains how these approaches improve data exchange, consistency, and collaboration, while also highlighting their limitations and the aspects they cannot fully address, such as scalability, timeliness, and semantic alignment.

Follow the training video on YouTube on the topic of Smart Data Interoperability to learn about the solutions.
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Knowledge Base Visuals_Risks

Data Ethics: Introduction

In this video training Data Ethics we provide a short introduction to the topic.

Follow the training video on YouTube on Data Ethics for a short introduction to the topic.

Publications

  • Data Interoperability, Jalilian, Azadeh; Winter, Andreas; Schönberg, Christian. In: no. 08/2024, Oldenburg Lecture Notes on Software Engineering, Oldenburg, Carl von Ossietzky Universität Oldenburg, Software-Engineering, 2024. 
  • Smart Data Interoperability, Südema, Malte; Winter, Andreas; Schönberg, Christian. In: no. 07/2024, Oldenburg Lecture Notes on Software Engineering, Oldenburg, Carl von Ossietzky University, Oldenburg, Software-Engineering, 2024.
  • Smart Data Interoperability, Clausing, Tim; Bothmann, Kjell; Südema, Malte; Winter, Andreas; Schönberg, Christian. In: no. 06/2023, Oldenburg Lecture Notes on Software Engineering, Oldenburg, Carl von Ossietzky University, Oldenburg, Software-Engineering, 2023.

Communication

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Map of the seven Data for All pilots

Map of the seven Data for All pilots