The goal of the FREYA consortium is to extend a robust environment for Persistent Identifiers (PIDs) into a core component of European and global research e-infrastructures. The resulting FREYA services will cover a wide range of resources in the research and innovation landscape and enhance the links between them so that they can be exploited in many disciplines and research processes.
FREYA is one building block of the European Open Science Cloud (EOSC).
Public administration has many opportunities to protect the environment and reduce its negative impact on it. There is a lot of potential in minimising energy, paper and water consumption, as well as waste production in public institutions. Because of the administration's role model function, it is necessary to take responsibility, and in consequence, to develop and establish environmental awareness. Environmental protection is a priority topic in recent years, which also needs to be addressed by the public administration.
In addition to recruiting new employees, personnel development should not be neglected. Existing personnel should be trained to help them handle the challenge of new technologies and consequently changes in organisational environment. Personnel development measures have to be established to support employees’ acceptance and the acquisition of competences connected to ICT, preparing them for possible challenges.
The public sector is facing demographic changes and has to compete with the private sector for talents. Incentives like, for example, an adequate payment or the possibility of mobile working, seem important to retain young and qualified employees in the long term and to increase the job satisfaction of all employees. The interviewed public administration employees criticised a lack of appreciation of their work.
Data literacy is about the ability to handle data. It includes competences to collect, manage, evaluate and apply data in a critical manner. The public sector struggles with the growing skills gap, since data has become a central issue in our working environment, and the ability to understand and master the huge amounts of data available to the organisation is a key challenge. Key to this is establishing a culture of data literacy, meaning employees at all levels can access and have the ability to read, work, analyse and argue with data.
Glocalization is an artificial word combining Globalization and Localization. It is a practice of conducting business according to both local and global considerations. The process allows integration of local markets into world markets in a business context. 
The concept can be transferred into a public sector context in the way that local levels of government need to be considered in higher-level policies.
Data philanthropy is a kind of strategic partnership between private and public sector in which private companies donate data as a valuable resource for public benefit, i.e. for humanitarian, corporate, human rights, and academic use. 
However, there are numerous challenges to be mastered, such as competing tensions on data control and ownership, personal data protection and the lack of adequate frameworks for coordination and governance. 
Core idea of the lean approach is to maximise customer value and to focus on its key processes in order to continuously increase it through an optimum value creation process that has zero waste.
Lean thinking changes the focus of management from optimising separate technologies, assets, and vertical departments to optimise the flow of products and services through entire value streams that flow horizontally across technologies, assets, and departments. 
Technological Unemployment is about the societal impacts of technologies. Danaher defines technological unemployment “as the replacement of human workers […] by technological alternatives (machines, computer programs, robots and so forth)”. Furthermore, he assumes that artificial intelligence and robots will take over the work of humans in future. This is one reason why technological developments often come with people´s fear of the consequences. Everything is automated to such an extent that human work is no longer needed.