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The transformation to the bicycle city Berlin is presented on the FixMyBerlin platform in an understandable and comprehensible way on maps. FixMyBerlin coordinates with the districts and the Senate Administration and shows infrastructure developments by subdividing it in four categories concept, planning, under construction and finished. The Happy Bike Index shows where you can cycle safely and where it is still dangerous.
Giess den Kiez (Pour the Neighborhood) is a Berlin-centred platform that aims to tackle the issue of arid and hot summers causing trees to dry and suffer long-term damage by encouraging citizens to adopt a tree and water it. The project is a coordinated effort to irrigate urban areas and enable citizen participation. On a map overview, dots represent trees, and a color-coding scheme indicates their water requirements.
Oparl is a website interface that offers access to the parliamentary information systems in Germany and is useful for citizens, municipalities, developers and RIS manufacturers. The project aims to create a standard API that allows access to public data currently stored in municipal council information systems thereby promoting the openness of parliamentary systems and public data of the German council.
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Open data best practices in Europe: Estonia, Slovenia and Ukraine
Data sharing as a service: will data services remove intellectual property rights from the picture, and at what cost?
Pasākumi atvērto datu jomā: Vācija
Open Data News in: Vācija
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Learn about the key highlights of the webinar ‘Data spaces: Introducing the concept and relevance in today’s world’
On Friday 12 May, the data.europa academy hosted the webinar ‘Data spaces: Introducing the concept and relevance in today’s world’. This was the first webinar in a series of webinars on Data Spaces, aligning with the European Data Strategy, where a common European data space is defined as a key element to facilitate data pooling and sharing. This first webinar introduced its concept, policy and legal framework. Data spaces are data ecosystems that operate based on shared policies and rules to overcome legal and technical barriers to data sharing and unleash the value of data. Building upon
Discover the data.europa academy: Third course ‘Incorporating open data into your application’
The restructured data.europa academy offers its third course, ‘Incorporating open data into your application’, where you can learn how to use open data to create or enhance applications. Whether you are beginner or advanced, you can discover how to find hidden data on the web, how to use it and achieve open data interoperability across Europe. The course covers seven lessons, starting with an e-learning ‘Finding hidden data on the web’, which explains how to locate and obtain hidden data and assess its benefits and value. Following that, the ‘5 Stars of linked open data’ method used to assess
European Single Access Point: Harvesting guidelines for Member States
In the framework of the Data Governance Act (DGA), the European Commission shall establish a European Single Access Point (ESAP), which will be integrated into data.europa.eu. As a searchable electronic European register, the ESAP will collect, partially mirror, and render the data provided by national single information points (NSIPs). NSIPs will assist potential re-users in finding information on what protected data (e.g., personal, or commercially confidential data) can be reused under specific conditions. They are to be established by the EU Member States by 24 September 2023. For the
Discover the data.europa academy: Second course, ‘Understanding the legal side of open data’
The second course of the restructured data.europa academy aims to enhance the understanding of how legislation and regulations can impact the publication and reuse of open data. The course ‘Understanding the legal side of open data’ introduces the different types of open data licenses and provides information and tools to select the appropriate one. Furthermore, it presents the current legal challenges related to the use and distribution of open data. The course consists of three lessons. The first lesson, Open data licensing, explains the concept of open data licensing and what it means in